Zeeshan Ali
57213472559
Publications - 17
Analysis of magnetohydrodynamic flow of Jeffrey-Hamel fluid in convergent/divergent channels using the numerical algorithm
Publication Name: Kuwait Journal of Science
Publication Date: 2026-01-01
Volume: 53
Issue: 1
Page Range: Unknown
Description:
This study explores the magnetohydrodynamic (MHD) flow of a Jeffrey-Hamel fluid within a convergent/divergent channel, a scenario relevant to both physical and biological sciences. The flow dynamics between nonparallel inclined walls are governed by highly nonlinear differential equations derived through conservation laws and similarity transformations. By applying similarity transformations, the governing partial differential equations (PDEs) are converted into ordinary differential equations (ODEs). The NDSolve approach is then utilized to obtain numerical solutions for these equations. A comparison with existing methods in the literature confirms the accuracy and reliability of the results. Additionally, the impact of various dimensionless physical parameters, such as the influence of the magnetic parameter, angle alpha, and the Deborah number on the velocity profile is investigated. The parameters angle alpha, Eckert number, and volume friction are examined on the temperature profile, followed by a detailed discussion of the findings.
Open Access: Yes
Analysis of Wireless Communications for Smart Grid: MABAC Model Based on Complex Propositional Picture Fuzzy Sugeno Weber Power Aggregation Information
Publication Name: Systems and Soft Computing
Publication Date: 2025-12-01
Volume: 7
Issue: Unknown
Page Range: Unknown
Description:
In this study, the shortcoming of the conventional procedure is demonstrated by proposing the novel technique of complex propositional picture fuzzy sets with some fundamental concepts based on algebraic and Sugeno Weber norms. In addition, the authors classified the different types of power operators based on Sugeno Weber norms for complex propositional picture fuzzy values, called the complex propositional picture fuzzy Sugeno Weber power averaging, complex propositional picture fuzzy Sugeno Weber weighted power averaging, complex propositional picture fuzzy Sugeno Weber power geometric, complex propositional picture fuzzy Sugeno Weber weighted power geometric operators and also designed their three different properties for each operator. As well, the authors designed the multi-attributive border approximation area comparison for the proposed operator. Further, wireless communication networks are playing a critical and vital role in the circumstance of development and operation of smart grids, which incorporate advanced technologies to enhance the capability, efficiency, and sustainability of electricity distribution. Finally, the designed techniques and models are applied to the wireless communications for smart grids in Taiwan. Sensitivity and comparative analysis are derived to obey the strength and competence of the developed model. This study gives an inventive decision analysis structure, which varieties a substantial contribution to wireless communication in smart grid assessment difficulties under the indeterminate situation.
Open Access: Yes
Coherent control of reflection and transmission solitons of structured light via a gain-assisted medium
Publication Name: Scientific Reports
Publication Date: 2025-12-01
Volume: 15
Issue: 1
Page Range: Unknown
Description:
A gain-assisted atomic medium controls and modifies spatial solitons of reflection and transmission of structured light. Structured light pulses of reflection and transmission are generated and analyzed by azimuthal quantum numbers dependent on control driving fields in the medium. The study revealed the formation of spatial bright and dark solitons. The bright and dark soliton splitting regions are linearly increasing according to azimuthal quantum numbers of formula. Two, four, six, and eight bright and dark soliton regions are investigated with the azimuthal quantum number of. The structured light of the reflection pulse maintained a constant shape, exhibiting weak nonlinearity along the x-axis and strong nonlinearity along the y-axis. However, the structured light transmission pulse displayed varying shapes, influenced by the balanced nonlinearities along both the x- and y-axes at higher azimuthal quantum number, leading to stable propagation of spatial bright solitons. These findings highlight the significant role of the structured light effect in controlling and stabilizing soliton dynamics, with potential applications in nonlinear optics, traffic flow, signal processing, plasma physics, quantum field theory, and optical soliton interferometry.
Open Access: Yes
Integration of MULTIMOORA algorithm combined with circular q-rung orthopair fuzzy information for optimizing player positioning
Publication Name: Scientific Reports
Publication Date: 2025-12-01
Volume: 15
Issue: 1
Page Range: Unknown
Description:
The following paper presents a new analytical framework for the optimization of player positioning, a methodology with significant practical implications. The method implements the multi-objective optimization by ratio analysis with full multiplicative form (MULTIMOORA) in a decision-making context in which several non-commensurable performance variables have to be combined. The application of Dombi operationalizes the framework by prioritizing weighted aggregation operators coupled with circular q-rung orthopair fuzzy sets (Cq-ROFSs). The Cq-ROFSs allow multidimensional representation of uncertainty, and allow dynamic actions upon the fuzzy parameter q, such that both intuitionistic fuzzy sets and Pythagorean fuzzy sets are subsets. Two Dombi prioritized operators on Cq-ROFSs are thereby devised a Cq-ROFSs Dombi prioritized weighted averaging operator (Cq-ROFSDPWA) and a Cq-ROFSs Dombi prioritized weighted geometric operator (Cq-ROFSDPWG). Results from empirical experiments are reported that demonstrate the performance of the resulting methodology, highlighting its practical relevance. The fundamental properties of these operators are also examined. The proposed aggregation operators are applied within the MULTIMOORA technique to assess their effectiveness. Numerical examples demonstrate that the methods yield logical and consistent results across different decision-making scenarios. Comparative analyses further highlight the advantages of the Cq-ROFSDPWA and Cq-ROFSDPWG operators over existing approaches.
Open Access: Yes
Digital Transformation in Taiwan’s Insurance Industries for MABAC Technology Based on Circular Modified Fuzzy Choquet Frank Network Data Envelopment Analysis
Publication Name: International Journal of Analysis and Applications
Publication Date: 2025-01-01
Volume: 23
Issue: Unknown
Page Range: Unknown
Description:
Fuzzy set theory has significant and dominant applications in Taiwan’s insurance industry, especially in fields involving decision-making, uncertainty, and risk assessment. Providing the complexity and problems in assessing factors, for instance, natural disaster risks, customer creditworthiness, or health conditions, traditional binary logic often falls short. Taiwanese insurers have adopted fuzzy logic systems to enhance fraud detection, premium pricing, and privilege evaluations by catching the indistinctness characteristic in human ruling and imperfect data. The Taiwan insurance industry is a dynamic and spirited module of the commercial sector, contributing meaningfully to risk management and economic stability. For this, we study to propose an assessment of the proficiency of insurance enterprises using Network Data Envelopment Analysis. Toward this end, the frank operational laws for circular Pythagorean fuzzy (CPF) uncertainty are applied. Moreover, the CPF Choquet Frank averaging (CPFCFA) operator and CPF Choquet Frank geometric (CPFCFG) operator with three dominant properties for each operator have been studied. The study deliberates the multi-attributive border approximation area comparison (MABAC) model and verifies it with the help of numerical examples. This study enhances the industry’s efficiency to offer adapted insurance products and handle risks precisely, aligning with Taiwan’s push toward intelligent financial services and digital transformation. In the following, we establish the decision-making performance for assessing the proficiency of insurance enterprises using the network data envelopment analysis (NDEA) technique. Finally, we examine the ranking values of offered representations to compare them with the ranking values of prevailing models to show the capability and efficacy of the originated approaches.
Open Access: Yes
MABAC model based on linguistic (p, q)-rung orthopair fuzzy Z-number and their application in green supply chain management
Publication Name: International Journal of Cognitive Computing in Engineering
Publication Date: 2026-12-01
Volume: 7
Issue: Unknown
Page Range: 247-267
Description:
The problem and complication arise from the growing environmental inefficiencies and concerns in traditional supply chains, for instance, poor accountability, excessive waste, and lack of transparency. The green supply chain practices aim to reduce or minimize the environmental impact of supply chain activities, but these efforts often face problems, for example, difficulty in monitoring sustainability performance, data manipulation, and limited traceability across numerous stakeholders. The main problem is that without effective techniques to verify and track eco-friendly practices, enterprises struggle to utilize and enforce green initiatives reliably. The blockchain technique is being derived as a solution because of its capability to give decentralized, transparent, and immutable records of processes and transactions. By integrating the blockchain into green supply chain practices, we aim to design the model of linguistic (p, q)-rung orthopair fuzzy Z-number sets with algebraic and Sugeno-Weber operational laws for the construction of the power weighted averaging operator and power weighted geometric operator. These operators can be used in the utilization of the multi-attributive border approximation area comparison model, which is also explained step-by-step with the help of examples to simplify the supremacy and validity of the invented model by comparing their ranking values with the ranking values of the existing approaches.
Open Access: Yes
A data-driven approach to tackling academic stress-coping and mental health issues in college students using spherical fuzzy MARCOS methodology
Publication Name: Applied Soft Computing
Publication Date: 2025-12-01
Volume: 185
Issue: Unknown
Page Range: Unknown
Description:
The drastically developing nature of the knowledge economy and the rising need for top-notch expertise have placed tremendous pressure on college students. As higher education becomes more accessible, masses of students are enrolling in colleges, which puts additional pressure on colleges and institutions; as a result, they cannot provide adequate resources to the students. As the class size increases, many students require mental health assistance, academic guidance, and financial aid, which then puts pressure on the teachers and the facilities. This flood of students overloads the facilities, resulting in it becoming more challenging to provide attention and concern, leading many students to feel overlooked and affecting their mental health. Due to not getting timely support, students may find it challenging to handle their academic responsibilities. Moreover, the students face a heavy workload, unclear guidance, and limited resource access. The objective of this study is to develop a structured, data-driven decision-making framework for systematically evaluating and improving student mental health and academic stress-coping strategies in a college setting. To address this, a comprehensive decision-making structure, measurement of alternatives, and ranking according to the compromised solution (MARCOS) within the spherical fuzzy (SF) environment, has been applied, which evaluates the key factors causing mental health issues by comparing the ideal and anti-ideal alternatives. The novelty of the proposed approach lies in leveraging the SF framework's explicit ability to model hesitation (abstinence) alongside truth and falsity degrees, enabling more accurate representation of subjective psychological assessments compared to traditional fuzzy models. Furthermore, the method calculates utility functions corresponding to each alternative (coping technique), prioritizes the strategies, and selects the most effective intervention. The results reveal that personalized mental health plans emerged as the top-ranked coping strategy, highlighting the importance of tailored support in culturally and contextually diverse academic environments.
Open Access: Yes
Fluctuating Free Convection Flow of Casson Dusty Fluid in an Inclined Microchannel Under Wall Shear Stress and an Inclined Magnetic Field
Publication Name: Contemporary Mathematics Singapore
Publication Date: 2025-01-01
Volume: 6
Issue: 6
Page Range: 7601-7618
Description:
This study examines the unsteady free convection flow of Casson dusty fluid within an inclined microchannel under the influence of wall shear stress and an inclined magnetic field. The fluid is assumed to contain uniformly dispersed electrically conductive dust particles, and heat is applied via Newtonian heating at one boundary. The governing partial differential equations representing the motion of both fluid and dust phases are derived and solved using the Poincaré-Lighthill Perturbation Technique (PLPT). Key physical parameters such as the Casson fluid parameter, Grashof number, magnetic field inclination, radiation, and dusty fluid interaction parameter are varied to analyze their effect on velocity and temperature profiles. Results reveal that increasing the Casson parameter reduces fluid velocity, while higher Grashof numbers and radiation levels enhance it. The magnetic field generates Lorentz forces that oppose the motion, thereby reducing both fluid and dust particle velocities. The inclined magnetic field and Newtonian heating significantly influence thermal and flow behavior. These findings have practical implications in microfluidics, industrial coatings, biomedical flows, and heat management systems, where controlling dusty fluid dynamics under external fields is crucial.
Open Access: Yes
Numerical analysis of MHD ternary nanofluid flow with heat transfer in porous convergent/divergent channel
Publication Name: Journal of Thermal Analysis and Calorimetry
Publication Date: 2025-11-01
Volume: 150
Issue: 23
Page Range: 19481-19489
Description:
In this research, we investigate the flow of ternary nanofluids under the influence of magnetic field in converging/diverging channel. The fluid assumed to be viscous, incompressible, and electrically conducting. The effect of Lorentz force on fluid motion is systematically examined. For practical applications, stretching and shrinking channel are considered. Using similarity transformation, the governing partial differential equations (PDEs) are reduced to ordinary differential equations (ODEs), which are then solved numerically with the ND-Solve technique. This method effectively handles the highly nonlinear equations and provides accurate results. The velocity and temperature profiles are presented graphically for various physical parameters, while skin friction and Nusselt number are analyzed. The results reveal that an increase in the magnetic parameter reduces the fluid velocity and enhances the temperature in both convergent/divergent channels. Furthermore, ternary nanofluids exhibit a stronger impact compared to nano and hybrid nanofluids.
Open Access: Yes
Digital Signal Processing Method for Gene Identification Based on Complex Fuzzy Distance Measures
Publication Name: Journal of Intelligent and Fuzzy Systems
Publication Date: 2026-03-01
Volume: 50
Issue: 3
Page Range: 953-978
Description:
Both computational and experimental methods are used to identify and describe genes within DNA sequences. Experimental methods such as cDNA cloning, RNA-Seq, and CRISPR/Cas9 evaluate gene expression and function directly, whereas computational approaches such as ab initio prediction, homology-based methods, and machine learning predict gene locations using DNA sequence features and comparisons. By measuring sequence similarity or divergence, distance measures are essential to these procedures and support gene grouping, phylogenetic analysis, comparative genomics, and sequence alignment. This paper aims to explore some distance measures (DMs) such as Hamming distance measure, Zhang distance measure, Normalized Hamming distance measure, and Zeeshan distance measure under the environment of complex fuzzy sets (CFSs). We studied some basic properties of complex fuzzy distance measures (CFDMs). Moreover, we employed CFDMs to extract pertinent features from gene that provides uncertainty and ambiguous data. We proposed an innovative digital signal processing method for gene identification using CFDMs. We developed an algorithm utilizing CFDMs to identify a healthy gene out of several affected genes. To demonstrate the effectiveness and advancements of the proposed work, a comparison with various current methodologies was also conducted.
Open Access: Yes
Advancing decision-making frameworks: Generalized distance measures in complex fuzzy set environments for enhanced precision and robustness
Publication Name: Systems and Soft Computing
Publication Date: 2025-12-01
Volume: 7
Issue: Unknown
Page Range: Unknown
Description:
A complex fuzzy distance measure (CFDM) is a way to quantify the dissimilarity or similarity between two complex fuzzy sets (CFSs). This measure often considers both the membership values and the degree of overlap between sets to compute the distance. However, CFDMs are not capable of capturing the hesitancy or uncertainty inherent in real-life problems. To overcome this difficulty, we present generalized notions of some existing distance measures (DMs), such as Zhang DM and Zeeshan DM within the framework of CFSs. The newly defined DMs are said to be complex fuzzy generalized Zhang Hesitance DM (CFGZHDM), complex fuzzy generalized weighted Zhang Hesitance DM (CFGWZHDM), complex fuzzy generalized Zeeshan Hesitance DM (CFGZHDM), and complex fuzzy generalized weighted Zeeshan Hesitance DM (CFGWZHDM). Several new set-theoretic operations and fundamental mathematical results are formally defined and developed. These are built upon the framework of the proposed decision-making models to strengthen their applicability and theoretical foundation. We utilized the proposed generalized CFDMs in applications to decision-making problems. We proposed a new decision-making algorithm that offers a flexible and nuanced approach to selecting exemplary students by considering the fuzzy and overlapping nature of attributes and allowing for uncertainty in the selection process. Furthermore, a comparative analysis is conducted between the proposed models, evaluating their performance and effectiveness about several existing fuzzy models. This comparison aims to highlight the strengths, differences, and potential advantages of the newly proposed models over conventional methods. Moreover, the newly defined decision-making approaches illustrate clear improvements over existing techniques. While traditional techniques fail to provide meaningful ranking values, our proposed approaches produce non-zero scores such as 0.13, 0.30, and 0.10, leading to a valid ordering of alternatives. When weighted information is considered, the effectiveness is further enhanced, yielding higher score values (0.80, 0.85, and 0.81) and more stable rankings.
Open Access: Yes
Critical impact of automobile industry with advanced decision support system and Aczél-Alsina Hammy mean operators
Publication Name: Scientific Reports
Publication Date: 2026-12-01
Volume: 16
Issue: 1
Page Range: Unknown
Description:
The automobile industry plays a pivotal role in global economic development, technological innovation, and sustainable mobility solutions. It drives advancements in engineering, manufacturing, and smart technologies and influences transportation systems. A decision analysis system in the automobile industry serves as a structured framework to evaluate complex choices involving design, production, supply chain, marketing, and sustainability strategies based on vague human information. To achieve the main goal of this article, we explore the concepts of spherical fuzzy sets (SFSs) for handling uncertainty and vagueness in human judgments. The SFS is a more efficient and broader fuzzy framework that has extensive information about an object. Besides the concepts discussed in the fuzzy framework, we also modify the theory of Hamy mean (HM) models under Aczel Alsina operations. By combining two different theories of Aczel Alsina operations and Hamy mean models, we derive a family of mathematical models, namely spherical fuzzy Aczel Alsina Hamy mean (SFAHM) and spherical fuzzy Aczel Alsina weighted Hamy mean (SFAWHM) operators. Moreover, another generalization of the Dual HM (DHM) models is modified in the form of spherical fuzzy Aczel Alsina DHM (SFADHM) and spherical fuzzy Aczel Alsina weighted DHM (SFAWDHM) operators. Some reliable and appropriate characteristics are also studied to demonstrate the flexibility of the proposed operators. An intelligent decision algorithm of the multi-attribute group decision-making (MAGDM) problem is discussed to resolve real-life applications and a group of expert’s opinions. To see the effectiveness and reliability of newly developed terminologies, we discussed a numerical example to choose desirable alternatives under an automobile industry system. The influence study is also presented here by setting numerous parametric values in the currently discussed methodologies. To showcase the validation and superiority of diagnosed mathematical models, we establish a comparative study to compare the results of invented approaches with the results of existing terminologies.
Open Access: Yes
Modeling Hepatitis B and Alcohol Effects on Liver Cirrhosis Progression
Publication Name: CMES Computer Modeling in Engineering and Sciences
Publication Date: 2026-01-01
Volume: 146
Issue: 1
Page Range: Unknown
Description:
Hepatitis B Virus (HBV) infection and heavy alcohol consumption are the two primary pathogenic causes of liver cirrhosis. In this paper, we proposed a deterministic mathematical model and a logistic equation to investigate the dynamics of liver cirrhosis progression as well as to explain the implications of variations in alcohol consumption on chronic hepatitis B patients, respectively. The intricate interactions between liver cirrhosis, recovery, and treatment dynamics are captured by the model. This study aims to show that alcohol consumption by Hepatitis B-infected individuals accelerates liver cirrhosis progression while treatment of acutely infected individuals reduces it. We proved that a unique solution of the proposed model exists, which is positive and bounded. Using the next-generation matrix approach, two basic reproductive numbers RA0 and RAmax are calculated to identify future recurrence. The equilibrium points are calculated, and both equilibria are proved locally and globally asymptotically stable when R0 is below and above one, respectively. It is shown that bifurcation exists at R0 = 1 and a detailed proof for forward bifurcation is given. Furthermore, we performed the sensitivity analysis of the model parameters on R0 . For the confirmation of analytical work, we performed numerical simulations, and the results indicate that the treatment and the inhibitory effects reduce the risk of developing liver cirrhosis in individuals, while heavy alcohol consumption accelerates markedly the liver cirrhosis progression in patients with chronic hepatitis B.
Open Access: Yes
Mathematical Simulation for Influence of Thermocapillary Radiative MHD Unsteady Couple Stress Ternary Hybrid Nanofluid on Stretching Parallel Surface
Publication Name: Contemporary Mathematics Singapore
Publication Date: 2025-01-01
Volume: 6
Issue: 6
Page Range: 7636-7653
Description:
This study aims to provide a thorough mathematical simulation of the effects of heat radiation and thermocapillarity on the time-dependent flow of couple stress ternary hybrid nanofluid across a stretching parallel surface in magneto-hydrodynamics. The ternary hybrid nanofluid consists of Ag, TiO2 , Al2 O3 nanoparticles dispersed within a base fluid, blood, enhancing its thermal performance. The governing partial differential equations are converted into a system of nonlinear ordinary differential equations by applying the proper similarity transformations to model the flow’s unstable behavior. After that, the Homotopy Analysis Method is used to solve these equations semi-analytically. The intricate interactions between radiative heat transport, thermocapillary forces induced by surface tension gradients, Lorentz force from the applied magnetic field, and couple stress effects are all captured in the simulation. The influence of main dimensionless parameters, including the magnetic parameter, couple stress parameter, nanoparticle volume fractions, dimensionless film thickness, unsteady parameter, thermal radiation parameter and Eckert number, on velocity profile, temperature profile, skin friction and Nusselt number in the form of graphs. According to the results, radiation improves the properties of heat transmission, whereas thermocapillarity dramatically changes the flow and thermal boundary layers. Furthermore, the fluid velocity is suppressed by the occurrence of magnetic fields and couple stress, providing information about possible control mechanisms in thermal management systems. The results’ graphical and tabular representations demonstrate how sensitive the temperature and velocity fields are to the physical parameters at play. These findings offer significant new insights into thermal management technologies and energy systems that employ complex nanofluid compositions.
Open Access: Yes
Analysis of Hamacher power aggregation operators for circular complex p, q-quasirung orthopair fuzzy 2-tuple linguistic sets and their application in green industry development
Publication Name: Heliyon
Publication Date: 2024-09-15
Volume: 10
Issue: 17
Page Range: Unknown
Description:
Green industry development focuses on balancing economic and financial growth with environmental stewardship and ensuring that companies and industries are contributing positively to both environmental sustainability and prosperity. This manuscript aims to develop the novel technique of circular complex p, q-quasirung orthopair fuzzy 2-tuple linguistic (CCp, q-QOF2-TL) set and their operational laws based on algebraic t-norms and Hamacher t-norms, where the algebraic t-norms and Einstein t-norms are the special cases of the Hamacher t-norms for parameter ϜℲs=l and ϜℲs=2. Further, we derive the Hamacher power aggregation operators based on any finite collection of CCp, q-QOF2-TL numbers (CCp, q-QOF2-TLNs), called CCp, q-QOF2-TL Hamacher power average (CCp, q-QOF2-TLHPA) operator, CCp, q-QOF2-TL Hamacher power weighted average (CCp, q-QOF2-TLHPWA) operator, CCp, q-QOF2-TL Hamacher power geometric (CCp, q-QOF2-TLHPG) operator, CCp, q-QOF2-TL Hamacher power weighted geometric (CCp, q-QOF2-TLHPWG) operator, and described their basic properties, called idempotency, monotonicity, and boundedness. Further, we demonstrate the technique of multi-attribute decision-making (MADM) problem based on the above operators to evaluate the major factor that will be playing in the development of the green industry. Finally, we compare the proposed ranking values with the obtained ranking values of existing techniques to show the supremacy and superiority of the initiated approaches.
Open Access: Yes
Analysis of coupling in geographic information systems based on WASPAS method for bipolar complex fuzzy linguistic Aczel-Alsina power aggregation operators
Publication Name: Plos One
Publication Date: 2024-09-01
Volume: 19
Issue: 9
Page Range: Unknown
Description:
The model of bipolar complex fuzzy linguistic set is a very famous and dominant principle to cope with vague and uncertain information. The bipolar complex fuzzy linguistic set contained the positive membership function, negative membership function, and linguistic variable, where the technique of fuzzy sets to bipolar fuzzy sets are the special cases of the bipolar complex fuzzy linguistic set. In this manuscript, we describe the model of Aczel-Alsina operational laws for bipolar complex fuzzy linguistic values based on Aczel-Alsina t-norm and Aczel-Alsina t-conorm. Additionally, we compute the Aczel-Alsina power aggregation operators based on bipolar complex fuzzy linguistic data, called bipolar complex fuzzy linguistic Aczel-Alsina power averaging operator, bipolar complex fuzzy linguistic Aczel-Alsina power weighted averaging operator, bipolar complex fuzzy linguistic Aczel-Alsina power geometric operator, and bipolar complex fuzzy linguistic Aczel-Alsina power weighted geometric operator with some dominant and fundamental laws such as idempotency, monotonicity, and boundedness. Moreover, we initiate the model of the Weighted Aggregates Sum Product Assessment technique with the help of consequent theory. In the context of geographic information systems and spatial information systems, coupling aims to find out the relationships among different components within a geographic information system, where coupling can occur at many stages, for instance, spatial coupling, data coupling, and functional coupling. To evaluate the above dilemma, we perform the model of multi-attribute decision-making for invented operators to compute the best technique for addressing geographic information systems. In the last, we deliberate some numerical examples for comparing the ranking results of proposed and prevailing techniques.
Open Access: Yes
Linguistic Linear Diophantine Fuzzy Sugeno Border Approximation Area Comparison: Application in Green Supply Chain Management
Publication Name: Journal of Fuzzy Extension and Applications
Publication Date: 2026-12-01
Volume: 7
Issue: 1
Page Range: 225-246
Description:
The Linguistic generalzied Fuzzy Set (FS) is more efficient and effective for depicting awkward and uncertain data compared to existing models. In this manuscript, we describe the Sugeno-Weber laws for linguistic generalzied fuzzy information. Because these operational laws will help us in the construction of the “power aggregation operators” for linguistic Linear Diophantine Fuzzy Sets (LDFSs), called “Power Averaging (PA) operator”, “Power Weighted Averaging (PWA)”, “Power Geometric (PG)”, and “Power Weighted Geometric (PWG)” for linguistic linear Diophantine fuzzy values. These models can help us aggregate the collection of data into a singleton set very easily. Additionally, we investigate the model of the multi-attributive border approximation area comparison technique for derived operators to enhance the effectiveness of the proposed theory. The problem of supply management is used for the integration of environmentally friendly procedures into supply chain management techniques, where the model of sustainable sourcing, eco-design, waste management, energy efficiency, transportation, and collaboration are the major parts of the considered theory. For this, we illustrate some numerical problems for evaluating the problem of supply chain theory by using the proposed models. Finally, we deliberate on the power and strength of the suggested models by comparing the value of the proposed and existing models.
Open Access: Yes
