Fuzzy measure analysis of public attitude towards the use of nuclear energy
Fuzzy Sets and Systems
Fuzzy discriminant analysis in fuzzy groups
Fuzzy Sets and Systems
Constructing membership functions using statistical data
Fuzzy Sets and Systems
Optimal clustering of fuzzy data via fuzzy dynamic programming
Fuzzy Sets and Systems - Special issue: Dedicated to the memory of Richard E. Bellman
Fuzzy data analysis by possibilistic linear models
Fuzzy Sets and Systems - Fuzzy Numbers
Fuzzy set theory and the social sciences: the scope for applications
Fuzzy Sets and Systems
On the meaning of Dunn's partition coefficient for fuzzy clusters
Fuzzy Sets and Systems
Possibilistic linear systems and their application to the linear regression model
Fuzzy Sets and Systems
Hierarchical pattern classification
Fuzzy Sets and Systems
Similarity of classes and fuzzy clustering
Fuzzy Sets and Systems
Similarity relations: the calculation of minimal generating families
Fuzzy Sets and Systems
The fuzzy GMDH algorithm by possibility models and its application
Fuzzy Sets and Systems
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Multivariate Descriptive Statistical Analysis
Multivariate Descriptive Statistical Analysis
An Algorithm for Detecting Unimodal Fuzzy Sets and Its Application as a Clustering Technique
IEEE Transactions on Computers
IEEE Transactions on Computers
Clustering Using a Similarity Measure Based on Shared Near Neighbors
IEEE Transactions on Computers
A fuzzy extension of Saaty's priority theory
Fuzzy Sets and Systems
Numerical methods for fuzzy clustering
Information Sciences: an International Journal
An application of fuzzy sets to the classification of geometric figures and chromosome images
Information Sciences: an International Journal
A fuzzy regression approach to a hierarchical evaluation model for oil palm fruit grading
Fuzzy Optimization and Decision Making
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In 1965 L.A. Zadeh presented a fuzzy set. After then, fuzzy clustering method was proposed in early stage. L.A. Zadeh presented the concept of similarity for a fuzzy set in 1981. Ruspini proposed a clustering method based on fuzzy decomposition. Dunn and Bezdek wrote a clustering based on IDODATA algorithm in terms of fuzzy concept. Many methods for fuzzy multivariate analysis were presented . For example, there are several approaches to multivariant analysis such as dynamic programming, M. Sugeno's measure, similarity concepts and clustering. M. Roubens and M.P. Windham discussed about the validity of clustering. Regarding hierarchical clustering, N. Osumi et al discussed it using fuzzy concepts. J. Watada et al proposed a heuristic hierarchical clustering which is employing similarity concepts of L.A. Zadeh's. There are many papers which discuss fuzzy clustering. In 1979 H. Tanaka et al proposed fuzzy linear regression model. This development broke through fuzzy multivariate analysis because no methods are proposed except clustering and hierarchical clustering till then. There are also various applications of fuzzy multicariant analyses. Furthermore, various data analyses were proposed based on the fuzzy linear regression model. For example, J. Watada et al developed Fuzzy time-series analysis and I. Hayashi developed GMDH method. This paper summarizes the 40 year history of Fuzzy Multivariate Methods.