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Grey systems analysismethods, models and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Grey systems analysisby Sifeng Liu, Yingjie Yang, Jeffrey Yi-Lin Forrest.
其他題名:	methods, models and applications /
作者:	Liu, Sifeng.
其他作者:	Yang, Yingjie.
出版者:	Singapore :Springer Nature Singapore :2022.
面頁冊數:	xxviii, 365 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	System analysis.
電子資源:	https://doi.org/10.1007/978-981-19-6160-1
ISBN:	9789811961601$q(electronic bk.)

Grey systems analysismethods, models and applications /
Liu, Sifeng.

Grey systems analysismethods, models and applications /[electronic resource] :by Sifeng Liu, Yingjie Yang, Jeffrey Yi-Lin Forrest. - Singapore :Springer Nature Singapore :2022. - xxviii, 365 p. :ill. (some col.), digital ;24 cm. - Series on grey system,2731-4944. - Series on grey system..

1. Introduction -- 2.Characteristics of grey system theory -- 3.Grey Numbers and their Operations -- 4. Sequence Operators and Grey Data Mining -- 5. Grey Relational Analysis Models -- 6. Grey Clustering Evaluation Models -- 7. Series of GM Models -- 8. Combined Grey Models -- 9.Techniques for Grey System Forecasting -- 10. Grey Models for Decision-Making -- 11. Grey Control Systems -- 12. Spectrum analysis of sequence operators.

The book covers up-to-date theoretical and applied advances in grey systems theory from across the world and vividly presents the reader with the overall picture of this new theory and its frontier research. Many of the concepts, models and methods in the book are original by the authors, including simplified form of grey number, general grey number and the operations of grey numbers; the axiomatic system of buffer operators and a series of weakening and strengthening operators; a series of grey relational analysis models, including grey absolute, relative, synthetic, similarity, closeness, negative and three dimension degree, etc.; grey fixed weight clustering model, grey evaluation models based on center-point and end-point mixed possibility functions; original difference grey model (ODGM), even difference grey model (EDGM), discrete grey model (DGM), fractional grey models, self-memory grey models; multi-attribute intelligent grey target decision models, weight vector group with kernel and the weighted comprehensive clustering coefficient vector, and spectrum analysis of sequence operators, etc. This book will be appropriate as a reference and/or professional book for courses of grey system theory for graduate students or high-level undergraduate students, majoring in areas of science, technology, agriculture, medicine, astronomy, earth science, economics, and management. It can also be utilized by researchers and practitioners in research institutions, business entities, and government agencies.

ISBN: 9789811961601$q(electronic bk.)

Standard No.: 10.1007/978-981-19-6160-1doiSubjects--Topical Terms:

182013
System analysis.

LC Class. No.: QA402

Dewey Class. No.: 003

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505 0 $a 1. Introduction -- 2.Characteristics of grey system theory -- 3.Grey Numbers and their Operations -- 4. Sequence Operators and Grey Data Mining -- 5. Grey Relational Analysis Models -- 6. Grey Clustering Evaluation Models -- 7. Series of GM Models -- 8. Combined Grey Models -- 9.Techniques for Grey System Forecasting -- 10. Grey Models for Decision-Making -- 11. Grey Control Systems -- 12. Spectrum analysis of sequence operators.
520 $a The book covers up-to-date theoretical and applied advances in grey systems theory from across the world and vividly presents the reader with the overall picture of this new theory and its frontier research. Many of the concepts, models and methods in the book are original by the authors, including simplified form of grey number, general grey number and the operations of grey numbers; the axiomatic system of buffer operators and a series of weakening and strengthening operators; a series of grey relational analysis models, including grey absolute, relative, synthetic, similarity, closeness, negative and three dimension degree, etc.; grey fixed weight clustering model, grey evaluation models based on center-point and end-point mixed possibility functions; original difference grey model (ODGM), even difference grey model (EDGM), discrete grey model (DGM), fractional grey models, self-memory grey models; multi-attribute intelligent grey target decision models, weight vector group with kernel and the weighted comprehensive clustering coefficient vector, and spectrum analysis of sequence operators, etc. This book will be appropriate as a reference and/or professional book for courses of grey system theory for graduate students or high-level undergraduate students, majoring in areas of science, technology, agriculture, medicine, astronomy, earth science, economics, and management. It can also be utilized by researchers and practitioners in research institutions, business entities, and government agencies.
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