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010   $a981-16-5800-5
024 7 $a10.1007/978-981-16-5800-6
035   $a(CKB)5360000000050092
035   $a(MiAaPQ)EBC6741245
035   $a(Au-PeEL)EBL6741245
035   $a(OCoLC)1273427097
035   $a(DE-He213)978-981-16-5800-6
035   $a(PPN)258298758
035   $a(EXLCZ)995360000000050092
100   $a20211003d2021      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aTechniques of Decision Making, Uncertain Reasoning and Regression Analysis Under the Hesitant Fuzzy Environment and Their Applications /$fby Chenyang Song, Zeshui Xu
205   $a1st ed. 2021.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021.
215   $a1 online resource (186 pages)
225 1 $aUncertainty and Operations Research,$x2195-9978
311   $a981-16-5799-8 
320   $aIncludes bibliographical references.
327   $aChapter 1 This chapter introduces the background about decision making, uncertain reasoning and regression analysis under the hesitant fuzzy environment, and the recent developments of some related theory and techniques -- Chapter 2 This chapter introduces the TODIM decision making method based on the hesitant fuzzy psychological distance measure -- Chapter 3 This chapter introduces a process-oriented dynamic decision making method based on the hesitant fuzzy decision field theory -- Chapter 4 A dynamic uncertain reasoning method based on the Dynamic Hesitant Fuzzy Bayesian Network is introduced -- Chapter 5 Two regression analysis models under the hesitant fuzzy environment are introduced -- Chapter 6 A cluster algorithm with probabilistic hesitant fuzzy correlation coefficient and the concept of interval-valued probabilistic hesitant fuzzy set are introduced to improve the theory of hesitant fuzzy set.
330   $aThis book mainly introduces some techniques of decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment and expands the applications of hesitant fuzzy sets in solving practical problems. The book pursues three major objectives: (1) to introduce some techniques about decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment, (2) to prove these techniques theoretically and (3) to apply the involved techniques to practical problems. The book is especially valuable for readers to understand how hesitant fuzzy set could be employed in decision-making, uncertain reasoning and regression analysis and motivates researchers to expand more application fields of hesitant fuzzy set.
410  0$aUncertainty and Operations Research,$x2195-9978
606   $aOperations research
606   $aFinancial risk management
606   $aComputer science
606   $aOperations Research and Decision Theory
606   $aRisk Management
606   $aComputer Science
615  0$aOperations research.
615  0$aFinancial risk management.
615  0$aComputer science.
615 14$aOperations Research and Decision Theory.
615 24$aRisk Management.
615 24$aComputer Science.
676   $a003.56
700   $aSong$b Chenyang$01072491
702   $aXu$b Zeshui
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910502651903321
996   $aTechniques of decision making, uncertain reasoning and regression analysis under the hesitant fuzzy environment and their applications$92887377
997   $aUNINA