Algorithms for clustering data
Algorithms for clustering data
Handling multicriteria fuzzy decision-making problems based on vague set theory
Fuzzy Sets and Systems
Multicriteria fuzzy decision-making problems based on vague set theory
Fuzzy Sets and Systems
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Note on "a new approach for defuzzification"
Fuzzy Sets and Systems - Featured Issue: Selected papers from ACIDCA 2000
On the Dengfeng-Chuntian similarity measure and its application to pattern recognition
Pattern Recognition Letters
Pattern recognition using type-II fuzzy sets
Information Sciences—Informatics and Computer Science: An International Journal
Strategic supplier selection in the added-value perspective: A CI approach
Information Sciences: an International Journal
Intuitionistic preference relations and their application in group decision making
Information Sciences: an International Journal
Vendor selection in outsourcing
Computers and Operations Research
Information Sciences: an International Journal
Clustering algorithm for intuitionistic fuzzy sets
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
An effective supplier selection method for constructing a competitive supply-relationship
Expert Systems with Applications: An International Journal
Fuzzy Sets and Systems
On intuitionistic fuzzy compactness
Information Sciences: an International Journal
General IF-sets with triangular norms and their applications to group decision making
Information Sciences: an International Journal
Nets and filters in intuitionistic fuzzy topological spaces
Information Sciences: an International Journal
Ranking of fuzzy numbers by sign distance
Information Sciences: an International Journal
Intuitionistic Fuzzy Aggregation Operators
IEEE Transactions on Fuzzy Systems
An intelligent supplier evaluation, selection and development system
Applied Soft Computing
Application of decision-making techniques in supplier selection: A systematic review of literature
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Relative entropy fuzzy c-means clustering
Information Sciences: an International Journal
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Supplier selection is a complicated decision-making problem involving multicriteria, alternative and decision makers (DMs). The main purpose of this paper is to demonstrate the use of a clustering-based method to solve a group decision making (GDM) problem and, also to achieve more realistic and homogeneous results. Intuitionistic fuzzy value (IFV) is used to show the decision makers' preferences and IFN clustering method is utilized to cluster around DM's preferences. Intuitionistic fuzzy weighted geometric (IFWG) is applied to aggregate the obtained clusters. Ranking process is used based on the two indices, score function and accuracy function, to rank the alternatives. Lastly, to demonstrate the efficiency of our proposed method, it is implemented to choose suppliers in a car factory. The strength of the propose approach is considering the group agreement on proposed DMs' preferences for giving different effect on their judgment. Besides, encountering the qualitative judgment of DMs using IFV concept with score function and the accuracy function for modeling the DMs' knowledge is the other contribution of this paper.