NDLI: The Fuzzy-TOPSIS Method Based on Credibility Measure

Content Provider	IEEE Xplore Digital Library
Author	Ran Lun Pang Jin-hui Lu Jin-lin
Copyright Year	2008
Description	Author affiliation: Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing (Ran Lun)
Abstract	This paper extended the TOPSIS method for multi-criteria decision-making by the credibility measure in fuzzy environment. Originated in the compromise programming method, TOPSIS is on the basis of an aggregating function representing "closeness to the ideal", the basic principles of it are that the chosen alternative should have the shortest distance from the positive ideal solution (PIS) and the farthest from the negative ideal solution (NIS). In reality, decision data are usually represented by vague concepts such that the precise value is inadequate to model real-life multi-criteria decisionmaking situations. To deal with linguistic or uncertain attributes in decision data, which should be allowed to assume fuzzy numbers, the paper provided a detailed discussion on one extension of TOPSIS method adopting the fuzzy uncertainty theory. In the presented fuzzy- TOPSIS method, the performance ratings and the weights of the criteria were given as triangular fuzzy numbers. In addition, the measure of distances between the fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) were replaced by credibility measure, where distance was a special measure. Finally, the proposed method was illustrated with a numerical example, showing its central procedure.
Starting Page	1
Ending Page	4
File Size	114059
Page Count	4
File Format	PDF
ISBN	9781424421077
DOI	10.1109/WiCom.2008.2278
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Technology management Information resources Decision making Paper technology Information management Resource management Functional programming Environmental management Environmental economics Radio access networks
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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