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Correlation of interval-valued intuitionistic fuzzy sets
Fuzzy Sets and Systems
Correlation of intuitionistic fuzzy sets in probability spaces
Fuzzy Sets and Systems
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Fuzzy set theory—and its applications (3rd ed.)
Some remarks on distances between fuzzy numbers
Fuzzy Sets and Systems
Fuzzy Sets and Systems
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Fuzzy Sets and Systems
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Fuzzy Sets and Systems
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International Journal of Intelligent Systems
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International Journal of Intelligent Systems
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Fuzzy Sets and Systems
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Computers & Mathematics with Applications
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FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 03
A new approach for ranking of trapezoidal fuzzy numbers
Computers & Mathematics with Applications
An interval arithmetic based fuzzy TOPSIS model
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Correlation of intuitionistic fuzzy sets
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Analyzing fuzzy risk based on a new fuzzy ranking method between generalized fuzzy numbers
Expert Systems with Applications: An International Journal
A fuzzy TOPSIS based approach for e-sourcing
Engineering Applications of Artificial Intelligence
A new approach for ranking of L-R type generalized fuzzy numbers
Expert Systems with Applications: An International Journal
Supporting user participation design using a fuzzy analytic hierarchy process approach
Engineering Applications of Artificial Intelligence
Simulation based fuzzy TOPSIS approach for group multi-criteria supplier selection problem
Engineering Applications of Artificial Intelligence
Competitiveness of manufacturing firms: an application of fuzzy weighted average
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
A theoretical development on a fuzzy distance measure for fuzzy numbers
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
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We frequently use the standard correlation coefficient to quantify linear relation between two given variables of interest in crisp industrial data. On the other hand, in many real world applications involving the opinions of experts, the domain of a variable of interest, e.g. the rating of the innovativeness of a new product idea, is oftentimes composed of subjective linguistic concepts such as very poor, poor, average, good and excellent. In this article, we extend the standard correlation coefficient to the subjective, linguistic setting, so as to quantify relations in imprecise industrial and management data. Unlike the correlation measures for fuzzy variables proposed in the literature, the present approach allows one to develop a correlation coefficient for linguistic variables that can account for and reflect the conditional dependence assumptions underlying a given data set. We apply the proposed method to quantify the degree of correlation between technology and management achievements of 15 large-scale machinery firms in Taiwan. It is shown that the flexibility of the present framework in allowing for the incorporation of appropriate conditional dependence assumptions to derive a correlation measure for linguistic variables can be essential in approximate reasoning applications.