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Intuitionistic Preference Modeling and Interactive Decision Making de Zeshui Xu

Intuitionistic Preference Modeling and Interactive Decision Making: Studies in Fuzziness and Soft Computing, cartea 280

Autor Zeshui Xu
en Limba Engleză Hardback – 12 sep 2013
This book offers an in-depth and comprehensive introduction to the priority methods of intuitionistic preference relations, the consistency and consensus improving procedures for intuitionistic preference relations, the approaches to group decision making based on intuitionistic preference relations, the approaches and models for interactive decision making with intuitionistic fuzzy information, and the extended results in interval-valued intuitionistic fuzzy environments.
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Specificații

ISBN-13: 9783642284021
ISBN-10: 3642284027
Pagini: 248
Ilustrații: XI, 233 p.
Dimensiuni: 160 x 241 x 17 mm
Greutate: 0.49 kg
Ediția:2014
Editura: Springer
Colecția Studies in Fuzziness and Soft Computing
Seria Studies in Fuzziness and Soft Computing

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

1 Intuitionistic Preference Relations.-1.1 Concepts and Operations.- 1.2 Estimation Algorithms for Acceptable Incomplete Intuitionistic Fuzzy Preference Relations.- 1.2.1 The Estimation Algorithm for an Acceptable Incomplete Intuitionistic Fuzzy Preference Relation with the Least Judgements.-1.2.2 The Estimation Algorithm for Acceptable Incomplete Fuzzy Preferenc Relation with More Known Judgements.-1.2.3 Illustrative Example.- 1.3 Group Decision Making with Incomplete Interval-valued Intuitionistic Preference Relation.- 1.3.1 Incomplete Interval-valued Intuitionistic Preferenc Relations.- 1.3.2 A Procedure for Constructing an Interval-valued Intuitionistic Preference Relation with Multiplicative Transitivity.- 1.3.3 An approach to Group Decision Making with Incomplete Interval-valued Intuitionistic Preference Relation.-1.3.4 Example Illustration.-1.4 Iterative Algorithms for Improving Consistency of Institutionistic Preferenc Relation.- 1.4.1 Some Properties of a Multiplicative Consistent Intuitionistic Preference Relation.-1.4.2 Improving Consistency of an Intuitionistic Preference Relation.-1.4.3 Improving Consistency of Intuitionistic Preference Relations in Group Decision Making.-1.5 Consistency and Consensus Improving Procedures of Interval-valued Intuitionistic Preference Relations.-1.5.1 A Property of Multiplicative Consistent Interval-valued Intuitionistic Preference Relations.-1.5.2 Construction of Multiplicative Consistent or Approximate  Multiplicative Consistent Interval-valued Intuitionistic Preference Relations.-1.5.3 Consensus Improving Procedure of Interval-valued Intuitionistic Preference Relations in Group Decision Making.-1.6 Compatibility Analysis of Intuitionistic Fuzzy Preference Relations in Group Decision Making.-1.6.1 Compatibility Analysis of Intuitionistic Preference Relations.- 1.6.2 Extended Results in Interval-valued Intuitionistic Fuzzy Situations.-1.6.3 Numerical Analysis.-1.7 A Method for Estimating Attribute Weights from Intuitionistic Preference Relations.-1.7.1 A new Concepts of Consistent Intuitionistic Preference Relation.-1.7.2 A Method for Estimating Attribute Weights.-1.7.3 Illustrative Exampls.-1.8 An Error-Analysis-Based Method for the Priority of an Intuitionistic Preference Relation.-1.8.1 Error Analysis.-1.8.2 An Error-Analysis-Based Priority Method.-1.8.3 Numerical Analysis.-1.9 Ranking Alternatives Based on Intuitionistic Preference Relation.-1.10 Intuitionistic Fuzzy Density-Based Aggregation Operators and Their Applications to Group Decision Making with Intuitionistic Preference  Relations.-1.10.1 Basic Concepts and Measures.-1.10.2 Intuitionistic Fuzzy Density-Based Aggregation Operators.-1.11 Preference Relations Based on Intuitionistic Multiplicative Information.-1.11.1 Intuitionistic Multiplicative Preference Relation.-1.11.2 Intuitionistic Multiplicative Aggregation Operators.-1.11.3 Decision Making with Intuitionistic Multiplicative Preference Relation.-1.12 Intuitionistic Multiplicative Group Decision Making with the Extended t-conorm and t-norm.- 1.12.1 Some Intuitionistic Multiplicative Operations Based on the Extended t-conorm and t-norm.-1.12.2 Intuitionist ic Multiplicative Aggregation Operators Based on the Extended t-conorms and t-norms.-1.12.3 Some Aggregation Operators Reflecting the Correlations of the Aggregated Arguments.-1.12.4 An Approach to Group Decision Making with Intuitionistic Multiplicative Preference Relations.-2 Interactive Intuitionistic Fuzzy Multi-Attribute Decision Making.-2.1 Interactive Intuitionistic Fuzzy Multi-Attribute Decision Making by Identifying and Eliminating Dominated Alternatives.-2.2 Interactive Intuitionistic Fuzzy Multi-Attribute Decision Making Based on Nonlinear Optimization Models.-2.2.1 A Satisfaction-Degree-Based Method.-2.2.2 An Interactive Method.-2.2.3 Extended Results in Interval-Valued Intuitionistic Fuzzy Situations.- References.

Notă biografică

Huchang Liao is an associate research fellow at Sichuan University, in Chengdu, China. He was an academic visitor at the School of Computer Science, University of Manchester, UK. He was an Endeavour Research Fellow at the University of Technology Sydney in 2015. He has published one book and more than 40 peer-reviewed papers, many in high-quality international journals including IEEE Transactions on Fuzzy Systems, Information Sciences, Knowledge-Based Systems, Applied Soft Computing, Expert Systems with Applications, etc. Ten of his papers have been selected as ESI highly cited papers. His current research interests include group decision-making, computing with words, information fusion, and multiple criteria decision-making under uncertainty. Dr. Liao is the Associate Editor of the International Journal of Fuzzy Systems, and serves as a reviewer for more than 40 international journals. His biographical profile has been selected for inclusion in the Marquis Who's Who in theWorld in 2015 and 2016.
Zeshui Xu is a Distinguished Young Scholar of the National Natural Science Foundation of China and the Chang Jiang Scholars of the Ministry of Education of China. He is currently a professor with the Business School, Sichuan University, Chendu, China. He has been selected as a 2014 and 2015 Thomson Reuters Highly Cited Researcher (in the fields of Computer Science and Engineering, respectively) and also included in The World's Most Influential Scientific Minds 2014. His h-index is 87, and he has authored the following books: Uncertain Multiple Attribute Decision-making: Methods and Applications (Tsinghua Univ. Press, 2004); Intuitionistic Fuzzy Information Aggregation: Theory and Applications (Science Press and Springer, 2012), Linguistic Decision-making: Theory and Methods (Science Press and Springer, 2012); Intuitionistic Fuzzy Preference Modeling and Interactive Decision-making (Springer, 2013); Intuitionistic Fuzzy Aggregation and Clustering (Springer, 2013); and Hesitant Fuzzy Sets Theory (Springer, 2014). He has contributed more than 450 articles to professional journals. His current research interests include information fusion, group decision-making, computing with words, and aggregation operators. Prof. Xu is the Associate Editor of Fuzzy Optimization and Decision-making, the Journal of Intelligence Systems, the Section Editor of the Asian Journal of Social and Economic Sciences, and the Chief Editor of the Scholars Journal of Economics, Business and Management.

Textul de pe ultima copertă

This book offers an in-depth and comprehensive introduction to the priority methods of intuitionistic preference relations, the consistency and consensus improving procedures for intuitionistic preference relations, the approaches to group decision making based on intuitionistic preference relations, the approaches and models for interactive decision making with intuitionistic fuzzy information, and the extended results in interval-valued intuitionistic fuzzy environments.

Caracteristici

A systematic survey of intuitionistic fuzzy clustering algorithms A comprehensive coverage of priority theory and methods of intuitionistic preference relations Detailed introduction and insights into a variety of models and approaches for interactive decision making with intuitionistic fuzzy information A systematic introduction to the latest research results in intuitionistic fuzzy aggregation techniques Includes supplementary material: sn.pub/extras