Finding the numerical compensation in multiple criteria decision-making problems under fuzzy environment

In this paper, we have developed a methodology to derive the level of compensation numerically in multiple criteria decision-making (MCDM) problems under fuzzy environment. The degree of compensation is dependent on the tranquility and anxiety level experienced by the decision-maker while taking the...

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Veröffentlicht in:	International journal of systems science Jg. 48; H. 6; S. 1301 - 1310
Hauptverfasser:	Gupta, Mahima, Mohanty, B. K.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 26.04.2017 Taylor & Francis Ltd
Schlagworte:	Agglomeration Anxiety Compensation Criteria Decision making degree of compensation Fuzzy logic Fuzzy sets Goal programming Indexing Integer programming Mathematical models Multiple criteria analysis Multiple criterion Risk Risk levels risk prone tranquility
ISSN:	0020-7721, 1464-5319
Online-Zugang:	Volltext
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