On the nearest parametric approximation of a fuzzy number
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Date
2008
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
ELSEVIER SCIENCE BV
Open Access Color
Green Open Access
Yes
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OpenAIRE Views
Publicly Funded
No
Abstract
Many nearest parametric approximation methods of fuzzy sets are proposed in the literature. It is clear that the specific approximations may lead to the loss of information about fuzziness. To overcome this problem most of these methods rely on the minimization of the distance between the original fuzzy set and it approximation But these approximations mostly are not flexible to the decision maker's choice. Hence in this paper we offer a parametric fuzzy approximation method based on the decision maker's strategy as an extension of trapezoidal approximation of a fuzzy number. This method comprises the selection of the form of the parametric membership function and its evaluation. (c) 2007 Elsevier B.V. All rights reserved.
Description
ORCID
Keywords
fuzzy number, defuzzification, fuzzy distance, nearest approximation, MEAN-VALUE, DEFUZZIFICATION, AGGREGATION, QUANTITY, Defuzzification, Nearest Approximation, Fuzzy Distance, Fuzzy Number, fuzzy number, defuzzification, nearest approximation, fuzzy distance, Theory of fuzzy sets, etc., Reasoning under uncertainty in the context of artificial intelligence, Decision theory
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
58
Source
Fuzzy Sets and Systems
Volume
159
Issue
11
Start Page
1365
End Page
1375
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Citations
CrossRef : 39
Scopus : 67
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Mendeley Readers : 11
SCOPUS™ Citations
67
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Web of Science™ Citations
54
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