A computational evaluation of the original and revised analytic hierarchy process
Computers and Industrial Engineering
Direct approach processes in group decision making using linguistic OWA operators
Fuzzy Sets and Systems
A fusion approach for managing multi-granularity linguistic term sets in decision making
Fuzzy Sets and Systems
Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
Fuzzy Sets and Systems - Special issue: Optimization and decision support systems
An interactive neural network-based approach for solving multiple criteria decision-making problems
Decision Support Systems
A method for multiple attribute decision-making with the fuzzy preference relation on alternatives
Computers and Industrial Engineering - Special issue: Selected papers from the 27th international conference on computers & industrial engineering
Multi-Expert Decision-Making with Linguistic Information: A Probabilistic-Based Model
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 3 - Volume 03
Sensitivity of multi-criteria decision making to linguistic quantifiers and aggregation means
Computers and Industrial Engineering
A fuzzy decision model for conceptual design
Systems Engineering
Information Sciences: an International Journal
Fuzzy aggregation and averaging for group decision making: A generalization and survey
Knowledge-Based Systems
Group decision making with incomplete fuzzy linguistic preference relations
International Journal of Intelligent Systems
Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques
Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques
IEEE Transactions on Fuzzy Systems
Decider: A fuzzy multi-criteria group decision support system
Knowledge-Based Systems
A mobile decision support system for dynamic group decision-making problems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Multi-step ranking of alternatives in a multi-criteria and multi-expert decision making environment
Information Sciences: an International Journal
A heuristic genetic algorithm for subcontractor selection in a global manufacturing environment
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Modeling prioritized multicriteria decision making
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Aggregation operators for linguistic weighted information
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets
IEEE Transactions on Fuzzy Systems
A linguistic aggregation operator with three kinds of weights for nuclear safeguards evaluation
Knowledge-Based Systems
Multi-attribute group decision making models under interval type-2 fuzzy environment
Knowledge-Based Systems
User-centric knowledge representations based on ontology for AEC design collaboration
Computer-Aided Design
Genetic fuzzy markup language for game of NoGo
Knowledge-Based Systems
Short Communication: A new optimal consensus method with minimum cost in fuzzy group decision
Knowledge-Based Systems
International Journal of Intelligent Systems
Expert Systems with Applications: An International Journal
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Inherent complexity and uncertainty in a business environment necessitate the participation of many experts in multi criteria decision making. However, participation of many experts makes the conflict aggregation process difficult. To handle this difficulty, we propose two algorithms namely possibility measure and averaging conflict aggregation. In possibility measure, we integrate the possibility theory of fuzzy logic with a maximal containment method that is designed based on the decision problem. Possibility measure algorithm for ME-MCDM involves computationally expensive multiple information processing steps. Therefore to test and compare this algorithm, averaging conflict aggregation algorithm is proposed that requires fewer mathematical information processing steps. Based on the proposed algorithms, a decision support system (DSS) is developed. We present a case study of supplier evaluation to compare both of the proposed algorithms with the help of developed DSS.