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19-05-2022 | Original Paper

Multi-criteria decision making based on novel fuzzy knowledge measures

Author: Rajesh Joshi

Published in: Granular Computing

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Abstract

Knowledge is related to the information considered in a particularly useful context under consideration. A knowledge measure as a dual of fuzzy entropy quantifies the knowledge associated with a fuzzy set. In this paper, a new entropy-based fuzzy knowledge measure is proposed and validated. The performance of the proposed knowledge measure is explained using two numerical examples. Furthermore, a new multi-criteria decision-making method based on the proposed knowledge measure is introduced and illustrated using a numerical example. Besides this, four new measures namely a fuzzy accuracy measure, a knowledge measure using fuzzy accuracy measure, a similarity measure, and a fuzzy information measure are derived from the proposed knowledge measure and validated.
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Metadata
Title
Multi-criteria decision making based on novel fuzzy knowledge measures
Author
Rajesh Joshi
Publication date
19-05-2022
Publisher
Springer International Publishing
Published in
Granular Computing
Print ISSN: 2364-4966
Electronic ISSN: 2364-4974
DOI
https://doi.org/10.1007/s41066-022-00329-y

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