The applications of interval-valued fuzzy numbers and interval-distribution numbers
Fuzzy Sets and Systems
Fuzzy Mathematical Models in Engineering and Management Science
Fuzzy Mathematical Models in Engineering and Management Science
An overview of methods for determining OWA weights: Research Articles
International Journal of Intelligent Systems
Fuzzy risk analysis based on measures of similarity between interval-valued fuzzy numbers
Computers & Mathematics with Applications
Fuzzy risk analysis based on interval-valued fuzzy numbers
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
The collapsing method of defuzzification for discretised interval type-2 fuzzy sets
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Linear programming method for multiattribute group decision making using IF sets
Information Sciences: an International Journal
Fuzzy multiple criteria hierarchical group decision-making based on interval type-2 fuzzy sets
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on model-based diagnostics
Knowledge and Information Systems
Information Sciences: an International Journal
Uncertainty measures for general Type-2 fuzzy sets
Information Sciences: an International Journal
Discussion forum: type-2 fuzzy sets--a tribal parody
IEEE Computational Intelligence Magazine
An integrated fuzzy AHP-ELECTRE methodology for environmental impact assessment
Expert Systems with Applications: An International Journal
Extension of the ELECTRE method based on interval-valued fuzzy sets
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on Digital Information Forensics
The ELECTRE multicriteria analysis approach based on Atanassov's intuitionistic fuzzy sets
Expert Systems with Applications: An International Journal
A fuzzy hybrid MCDM approach for professional selection
Expert Systems with Applications: An International Journal
Knowledge and Information Systems - Special Issue on "Context-Aware Data Mining (CADM)"
Fuzzy multiple attributes group decision-making based on ranking interval type-2 fuzzy sets
Expert Systems with Applications: An International Journal
User preferences based software defect detection algorithms selection using MCDM
Information Sciences: an International Journal
Multi-attribute group decision making models under interval type-2 fuzzy environment
Knowledge-Based Systems
An outranking method for multi-criteria decision making with duplex linguistic information
Fuzzy Sets and Systems
Type-2 fuzzy sets and systems: an overview
IEEE Computational Intelligence Magazine
A domain-specific decision support system for knowledge discovery using association and text mining
Knowledge and Information Systems
Interval Type-2 Fuzzy Logic Systems Made Simple
IEEE Transactions on Fuzzy Systems
An application of multi-criteria decision aids models for Case-Based Reasoning
Information Sciences: an International Journal
Simplified type-2 fuzzy sliding controller for wing rock system
Fuzzy Sets and Systems
On characterization of generalized interval type-2 fuzzy rough sets
Information Sciences: an International Journal
A type-2 linguistic set theory and its application to multi-criteria decision making
Computers and Industrial Engineering
Generation of linear orders for intervals by means of aggregation functions
Fuzzy Sets and Systems
Fuzzy Optimization and Decision Making
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The aim of this paper is to develop an ELECTRE (ELimination Et Choice Translating REality)-based outranking method for multiple criteria group decision-making within the environment of interval type-2 fuzzy sets. Along with considering the context of interval type-2 trapezoidal fuzzy numbers, this paper employs a hybrid averaging approach with signed distances to construct a collective decision matrix and proposes the use of ELECTRE-based outranking methods to analyze the collective interval type-2 fuzzy data. By applying a signed distance approach, this work identifies the concordance and discordance sets to determine the concordance and discordance indices, respectively, for each pair of alternatives. Based on an aggregate outranking matrix, a decision graph is constructed to determine the partial-preference ordering of the alternatives and the ELECTREcally non-outranked solutions. This paper provides additional approaches at the final selection stage to yield a linear ranking order of the alternatives. The feasibility and applicability of the proposed methods are illustrated with an example that addresses supplier selection, and a comparative analysis is performed with other approaches to validate the effectiveness of the proposed methodology.