New Closeness Coefficients for Fuzzy Similarity Based Fuzzy TOPSIS: An Approach Combining Fuzzy Entropy and Multidistance
Joint Authors
Luukka, Pasi
Collan, Mikael
Fedrizzi, Mario
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-23
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper introduces new closeness coefficients for fuzzy similarity based TOPSIS.
The new closeness coefficients are based on multidistance or fuzzy entropy, are able to take into consideration the level of similarity between analysed criteria, and can be used to account for the consistency or homogeneity of, for example, performance measuring criteria.
The commonly known OWA operator is used in the aggregation process over the fuzzy similarity values.
A range of orness values is considered in creating a fuzzy overall ranking for each object, after which the fuzzy rankings are ordered to find a final linear ranking.
The presented method is numerically applied to a research and development project selection problem and the effect of using two new closeness coefficients based on multidistance and fuzzy entropy is numerically illustrated.
American Psychological Association (APA)
Collan, Mikael& Fedrizzi, Mario& Luukka, Pasi. 2015. New Closeness Coefficients for Fuzzy Similarity Based Fuzzy TOPSIS: An Approach Combining Fuzzy Entropy and Multidistance. Advances in Fuzzy Systems،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1052421
Modern Language Association (MLA)
Collan, Mikael…[et al.]. New Closeness Coefficients for Fuzzy Similarity Based Fuzzy TOPSIS: An Approach Combining Fuzzy Entropy and Multidistance. Advances in Fuzzy Systems No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1052421
American Medical Association (AMA)
Collan, Mikael& Fedrizzi, Mario& Luukka, Pasi. New Closeness Coefficients for Fuzzy Similarity Based Fuzzy TOPSIS: An Approach Combining Fuzzy Entropy and Multidistance. Advances in Fuzzy Systems. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1052421
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052421