Results 51 to 60 of about 9,337,735 (179)
Multicriteria Decision-Making Approach with Hesitant Interval-Valued Intuitionistic Fuzzy Sets
The Scientific World Journal, 2014 The definition of hesitant interval-valued intuitionistic fuzzy sets (HIVIFSs) is developed based on interval-valued intuitionistic fuzzy sets (IVIFSs) and hesitant fuzzy sets (HFSs).
Juan-juan Peng +3 more
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A New Approach for Solving Intuitionistic Fuzzy Data Envelopment Analysis Problems
Fuzzy Optimization and Modeling, 2021 Data envelopment analysis (DEA) is a mathematical technique based on linear programming applied to evaluate the efficiency of decision-making units dealing with multiple inputs and outputs.
Francisco Javier Santos Arteaga +2 more
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Engineering Reports, Volume 8, Issue 9, September 2026.Selecting build‐to‐suit telecom contractors is a high‐stakes decision shaped by vague expert judgments. This study develops an interval type‐3 fuzzy Analytic Hierarchy Process whose secondary credibility grade models uncertainty about the judgments themselves.
Leah‐Maria Ndokezi, Haryson Nyobuya
wiley +1 more source
Intuitionistic fuzzy Laplace Adomian decomposition method for solving intuitionistic fuzzy differential equations of higher order [PDF]
Notes on IFSThe aim of this work is to introduce the intuitionistic fuzzy Laplace Adomian decomposition method, in which we combine intuitionistic fuzzy Laplace transform with the intuitionistic fuzzy Adomian decomposition method.
Razika Ettoussi +2 more
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Safety Science and Technology, Volume 1, Issue 3, September 2026.A novel method for evaluating the ESG performance level of power companies is proposed. The PFS‐FWZIC method is employed to calculate the indicator weights, avoiding the inconsistency issues associated with traditional methods. An ESG performance evaluation index system tailored for the power industry is constructed.
Qiang Li +4 more
wiley +1 more source
Application of Genetic Algorithm Based Intuitionistic Fuzzy k-Mode for Clustering Categorical Data
Cybernetics and Information Technologies, 2017 In present times a great number of clustering algorithms are available which group objects having similar features. But most of the datasets have data values that are categorical, which makes it difficult to implement these algorithms.
Goyal Akarsh +2 more
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Some Muirhead Mean Operators for Intuitionistic Fuzzy Numbers and Their Applications to Group Decision Making. [PDF]
PLoS ONE, 2017 Muirhead mean (MM) is a well-known aggregation operator which can consider interrelationships among any number of arguments assigned by a variable vector.
Peide Liu, Dengfeng Li
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Journal of Software: Evolution and Process, Volume 38, Issue 8, August 2026.ABSTRACT The inaccuracy of cost, effort, and schedule estimates remains one of the primary factors associated with failures in software development projects, particularly in contexts characterized by high complexity and frequent changes in requirements.
Rodolfo Barbosa dos Santos +1 more
wiley +1 more source
Energy Science &Engineering, Volume 14, Issue 7, Page 3250-3271, July 2026.This study introduces bipolar q‐fractional fuzzy sets and new aggregation operators to support renewable energy selection under uncertainty. The proposed decision‐making framework effectively integrates positive and negative evaluations, ensuring consistent ranking and robust performance, as demonstrated through practical analysis and comparative ...
Sagvan Y. Musa +3 more
wiley +1 more source
Information, 2017 Triangular intuitionistic fuzzy number (TIFN) is a more generalized platform for expressing imprecise, incomplete, and inconsistent information when solving multi-criteria decision-making problems, as well as for expressing and reflecting the evaluation ...
Daniel O. Aikhuele, Sarah Odofin
doaj +1 more source