大葉大學圖書館 |

Generalizations of fuzzy information measures[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	511.3223
書名/作者:	Generalizations of fuzzy information measures/ by Anshu Ohlan, Ramphul Ohlan.
作者:	Ohlan, Anshu.
其他作者:	Ohlan, Ramphul.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	ix, 146 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Fuzzy sets.
標題:	Fuzzy mathematics.
標題:	Computer Science.
標題:	Pattern Recognition.
標題:	Computational Science and Engineering.
標題:	Complexity.
標題:	Biometrics.
標題:	Applied Linguistics.
ISBN:	9783319459288
ISBN:	9783319459271
內容註:	Fundamentals of Fuzzy Information Measures -- Parametric Generalized R‒Norm Fuzzy Information and Divergence Measures -- Parametric Generalized R‒Norm Fuzzy Information and Divergence Measures -- Parametric Generalized Exponential Fuzzy Divergence Measure and Strategic Decision Making -- Sequence and Application of Inequalities Among Fuzzy Mean Difference Divergence Measures in Pattern Recognition -- Applications of Generalized Fuzzy Divergence Measure in Multi-criteria Decision Making and Pattern Recognition -- Generalized Hellinger's Fuzzy Divergence Measure and Its Applications -- Intuitionistic Fuzzy Exponential Divergence and Multi-Attribute Decision Making.
摘要、提要註:	This book develops applications of novel generalizations of fuzzy information measures in the field of pattern recognition, medical diagnosis, multi-criteria and multi-attribute decision making and suitability in linguistic variables. The focus of this presentation lies on introducing consistently strong and efficient generalizations of information and information-theoretic divergence measures in fuzzy and intuitionistic fuzzy environment covering different practical examples. The target audience comprises primarily researchers and practitioners in the involved fields but the book may also be beneficial for graduate students.
電子資源:	http://dx.doi.org/10.1007/978-3-319-45928-8

Generalizations of fuzzy information measures[electronic resource] /
Ohlan, Anshu.

Generalizations of fuzzy information measures[electronic resource] /by Anshu Ohlan, Ramphul Ohlan. - Cham :Springer International Publishing :2016. - ix, 146 p. :ill., digital ;24 cm.

Fundamentals of Fuzzy Information Measures -- Parametric Generalized R‒Norm Fuzzy Information and Divergence Measures -- Parametric Generalized R‒Norm Fuzzy Information and Divergence Measures -- Parametric Generalized Exponential Fuzzy Divergence Measure and Strategic Decision Making -- Sequence and Application of Inequalities Among Fuzzy Mean Difference Divergence Measures in Pattern Recognition -- Applications of Generalized Fuzzy Divergence Measure in Multi-criteria Decision Making and Pattern Recognition -- Generalized Hellinger's Fuzzy Divergence Measure and Its Applications -- Intuitionistic Fuzzy Exponential Divergence and Multi-Attribute Decision Making.

This book develops applications of novel generalizations of fuzzy information measures in the field of pattern recognition, medical diagnosis, multi-criteria and multi-attribute decision making and suitability in linguistic variables. The focus of this presentation lies on introducing consistently strong and efficient generalizations of information and information-theoretic divergence measures in fuzzy and intuitionistic fuzzy environment covering different practical examples. The target audience comprises primarily researchers and practitioners in the involved fields but the book may also be beneficial for graduate students.

ISBN: 9783319459288

Standard No.: 10.1007/978-3-319-45928-8doiSubjects--Topical Terms:

444146
Fuzzy sets.

LC Class. No.: QA248.5

Dewey Class. No.: 511.3223

Generalizations of fuzzy information measures[electronic resource] /
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520 $a This book develops applications of novel generalizations of fuzzy information measures in the field of pattern recognition, medical diagnosis, multi-criteria and multi-attribute decision making and suitability in linguistic variables. The focus of this presentation lies on introducing consistently strong and efficient generalizations of information and information-theoretic divergence measures in fuzzy and intuitionistic fuzzy environment covering different practical examples. The target audience comprises primarily researchers and practitioners in the involved fields but the book may also be beneficial for graduate students.
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