Results 61 to 70 of about 1,966 (172)

Sustainable Circular Supplier Selection in the Power Battery Industry Using a Linguistic T-Spherical Fuzzy MAGDM Model Based on the Improved ARAS Method

Sustainability, 2022
In the power battery industry, the selection of an appropriate sustainable recycling supplier (SCS) is a significant topic in circular supply chain management.
Haolun Wang
semanticscholar   +1 more source

On Globular T‐Spherical Fuzzy Sets With Weighted Aggregation Operators and Application to Multicriteria Group Decision‐Making

Journal of Mathematics, Volume 2025, Issue 1, 2025.
In this paper, we give the concept of novel globular T‐spherical fuzzy sets (G‐TSFSs) as an innovative extension of TSFSs and circular spherical fuzzy sets (C‐SFSs). G‐TSFSs represent membership, indeterminacy, and nonmembership degrees using a globular/sphere bound that can offer a more accurate portrayal of vague, ambiguous, and imprecise information.
Miin-Shen Yang, Yasir Akhtar, Mehboob Ali, Musavarah Sarwar   +3 more
wiley   +1 more source

A Neural Network-Based framework for complemented linguistic‎ ‎intuitionistic Fuzzy Aggregation in MAGDM problems [PDF]

Mathematics and Computational Sciences
Objectives: To define a mathematical formulation for the complement of Linguistic Intuitionistic Fuzzy Set (LIFS) that ensures logical consistency and alignment with linguistic intuitionistic fuzzy theory and to design suitable aggregation operator that ...
Anandarajan Harishree, John Robinson. P
doaj   +1 more source

Sustainable medical supplier selection based on multi-granularity probabilistic linguistic term sets

Technological and Economic Development of Economy, 2022
The sustainable medical supplier selection (SMSS) is an important issue facing the medical industry in the context of sustainable development, which can be regarded as a typical multi-attribute group decision making (MAGDM) problem. In the MAGDM process,
Peide Liu, Xiyu Wang, Peng Wang, Fubin Wang, Fei Teng   +4 more
doaj   +1 more source

A Data‐Driven Method for Supporting Self‐Adapt Large‐Scale Group Decision‐Making: A Case Study on Resilient Design of Firm’s Product

Journal of Mathematics, Volume 2024, Issue 1, 2024.
Large‐scale group decision‐making (LSGDM) has emerged as a prominent research area in various domains, such as high technology and complex engineering problems. The advent of machine learning techniques has revolutionized LSGDM by introducing new data‐driven approaches.
Houxue Xia, Mingwei Liu, Jingyao Jiao, Huagang Tong, Haifeng Zhang, Chiranjibe Jana   +5 more
wiley   +1 more source

An Extensive Review of the Literature Using the Diophantine Equations to Study Fuzzy Set Theory

International Journal of Mathematics and Mathematical Sciences, Volume 2024, Issue 1, 2024.
Every field in mathematics has made significant progress in research with fuzzy sets. Numerous application fields were discovered in both empirical and theoretical investigations, ranging from information technology to medical technology, from the natural sciences to the physical sciences, and from technical education to fine arts education.
K. M. Abirami, Narayanan Veena, R. Srikanth, P. Dhanasekaran, Shih Pin Chen   +4 more
wiley   +1 more source

MAGDM Model Using Single-Valued Neutrosophic Credibility Matrix Energy and Its Decision-Making Application

Neutrosophic Systems with Applications
This paper aims to develop a MAGDM model using single-valued neutrosophic credibility matrix (SVNCM) energy in a SVNCM scenario. To do it, first, SVNCM energy and its score function are presented as a conceptual extension of existing single-valued ...
Jun Ye, Rui Yong, Wanlu Du
semanticscholar   +1 more source

Some Information Measures for Interval‐Valued Hesitant Fuzzy Sets in Multiple Criteria Decision‐Making

International Journal of Intelligent Systems, Volume 2024, Issue 1, 2024.
In the fields of information science and artificial intelligence, dealing with uncertainty, fuzziness, and complexity has always been a hot and difficult research topic. Especially in modern society, with the continuous development of science and technology, people are facing more and more complex problems. Interval‐valued hesitant fuzzy set (IVHFS) is
Kun Chen, Jiyu Tan, Chuanxi Zhu, Gaochang Liu, Paolo Gastaldo   +4 more
wiley   +1 more source

Comparative Ranking Preferences Decision Analysis through a Novel Fuzzy TOPSIS Technique for Vehicle Selection

Journal of Engineering, Volume 2024, Issue 1, 2024.
Acquiring a vehicle or financing its purchase is often considered a luxury, particularly for middle‐class households. In addition to their primary concern, consumers prioritize distinguishing elements such as vehicle type, size, capacity, engine power, fuel efficiency, safety features, and life‐cycle costs.
Marimuthu Dharmalingam, G. S. Mahapatra, Fasika Bete Georgise, Mahuya Deb, Assed Naked Haddad   +4 more
wiley   +1 more source

Novel Complex Intuitionistic Hesitant Fuzzy Distance Measures for Solving Decision‐Support Problems

Discrete Dynamics in Nature and Society, Volume 2024, Issue 1, 2024.
The key objective of this article is to introduce the innovative idea of a complex intuitionistic hesitant fuzzy set (CIHFS), which blends the intuitionistic hesitant fuzzy set with the complex fuzzy set to address the uncertain information in real‐life complex problems. In CIHFS, the range of the membership functions is extended from the subset of the
Shahzaib Ashraf, Muhammad Ahmed, Muhammad Naeem, Quashie Duodu, Darko Božanić   +4 more
wiley   +1 more source