Evaluating weapon system using fuzzy analytic hierarchy process based on entropy weight
Fuzzy Sets and Systems
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Type 2 representation and reasoning for CWW
Fuzzy Sets and Systems - Special issue: Approximate Reasoning in Words
Fuzzy Sets and Systems - Optimisation and decision
Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
Engineering Applications of Artificial Intelligence
Computing with words and its relationships with fuzzistics
Information Sciences: an International Journal
Experimental study of intelligent controllers under uncertainty using type-1 and type-2 fuzzy logic
Information Sciences: an International Journal
Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A causal analytical method for group decision-making under fuzzy environment
Expert Systems with Applications: An International Journal
A DS-AHP approach for multi-attribute decision making problem with incomplete information
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Dynamic multi-attribute decision making model with grey number evaluations
Expert Systems with Applications: An International Journal
Group decision making with incomplete fuzzy linguistic preference relations
International Journal of Intelligent Systems
Expert Systems with Applications: An International Journal
Minimum cost consensus with quadratic cost functions
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
Guest Editorial: A special issue on Intelligent Decision Support and Warning Systems
Knowledge-Based Systems
Decider: A fuzzy multi-criteria group decision support system
Knowledge-Based Systems
Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method
Expert Systems with Applications: An International Journal
A method for fuzzy aggregation based on group expert evaluations
Fuzzy Sets and Systems
The continuous ordered weighted geometric operator and its application to decision making
Fuzzy Sets and Systems
Interval type-2 fuzzy logic congestion control for video streaming across IP networks
IEEE Transactions on Fuzzy Systems
Discussion forum: what computing with words means tome
IEEE Computational Intelligence Magazine
Perceptual Computing: Aiding People in Making Subjective Judgments
Perceptual Computing: Aiding People in Making Subjective Judgments
Toward general type-2 fuzzy logic systems based on zSlices
IEEE Transactions on Fuzzy Systems
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
Group decision making problems in a linguistic and dynamic context
Expert Systems with Applications: An International Journal
A mobile decision support system for dynamic group decision-making problems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Forecasting TAIEX using improved type 2 fuzzy time series
Expert Systems with Applications: An International Journal
Algorithms for fuzzy multi expert multi criteria decision making (ME-MCDM)
Knowledge-Based Systems
Consolidating SWOT analysis with nonhomogeneous uncertain preference information
Knowledge-Based Systems
Type-2 FLCs: A New Generation of Fuzzy Controllers
IEEE Computational Intelligence Magazine
IEEE Transactions on Fuzzy Systems
A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots
IEEE Transactions on Fuzzy Systems
Interval Type-2 Fuzzy Logic Systems Made Simple
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Aggregation Using the Linguistic Weighted Average and Interval Type-2 Fuzzy Sets
IEEE Transactions on Fuzzy Systems
Corrections to “Aggregation Using the Linguistic Weighted Average and Interval Type-2 Fuzzy Sets”
IEEE Transactions on Fuzzy Systems
Minimum-Cost Consensus Models Under Aggregation Operators
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
On interval type-2 rough fuzzy sets
Knowledge-Based Systems
Interval type-2 fuzzy logic for encoding clinical practice guidelines
Knowledge-Based Systems
Fuzzy Optimization and Decision Making
A new type-2 fuzzy set of linguistic variables for the fuzzy analytic hierarchy process
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Hi-index | 0.00 |
Interval type-2 fuzzy sets (IT2 FSs) are a very useful means to depict the decision information in the process of decision making. In this article, we investigate the group decision making problems in which all the information provided by the decision makers (DMs) is expressed as IT2 fuzzy decision matrices, and the information about attribute weights is partially known, which may be constructed by various forms. We first use the IT2 fuzzy weighted arithmetic averaging operator to aggregate all individual IT2 fuzzy decision matrices provided by the DMs into the collective IT2 fuzzy decision matrix, then we utilize the ranking-value measure to calculate the ranking value of each attribute value and construct the ranking-value matrix of the collective IT2 fuzzy decision matrix. Based on the ranking-value matrix and the given attribute weight information, we establish some optimization models to determine the weights of attributes. Furthermore, we utilize the obtained attribute weights and the IT2 fuzzy weighted arithmetic average operator to fuse the IT2 fuzzy information in the collective IT2 fuzzy decision matrix to get the overall IT2 fuzzy values of alternatives by which the ranking of all the given alternatives can be found. Finally, we give an illustrative example.