000 | 02066nam a2200229 4500 | ||
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005 | 20250114104914.0 | ||
008 | 250114b |||||||| |||| 00| 0 eng d | ||
020 | _a9789819731398 | ||
082 |
_a518 _bSU |
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100 |
_aSu, Zhan _920552 |
||
245 |
_aHesitant fuzzy and probabilistic information fusion: _btheory and applications |
||
260 |
_bSpringer _aSingapore _c2024 |
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300 | _axiv, 145 p | ||
365 |
_aEUR _b149.99 |
||
490 | _aUncertainty and Operations Research | ||
500 | _aTable of content: Introduction Zhan Su, Zeshui Xu, Shen Zhang Pages 1-15 Probability-Based Hesitant Fuzzy Opinion Dynamics Decision-Making Method Zhan Su, Zeshui Xu, Shen Zhang Pages 17-47 Distribution-Based Decision-Making Method for Dual Hesitant Fuzzy Information Zhan Su, Zeshui Xu, Shen Zhang Pages 49-72 Multi-Attribute Decision-Making Method Based on Probabilistic Hesitant Fuzzy Entropy Zhan Su, Zeshui Xu, Shen Zhang Pages 73-98 Probability-Based Integration for Continuous Hesitant Fuzzy Information in Group Decision-Making Zhan Su, Zeshui Xu, Shen Zhang Pages 99-125 Probability-Based Political Risk Assessment in the Belt and Road Investment Zhan Su, Zeshui Xu, Shen Zhang Pages 127-140 Back Matter Pages 141-145 [https://link.springer.com/book/10.1007/978-981-97-3140-4] | ||
520 | _aThis book introduces the current research progress on hesitant fuzzy decision-making based on probability theory and methods. From the perspectives of theory expansion, information fusion, and information mining, it explores novel perspectives, ideas, and techniques for addressing hesitant fuzzy uncertain decision-making problems and demonstrates them through practical applications and case studies. It aims to provide a reference for researchers, practitioners, and graduate students in the fields of decision analysis, fuzzy theory, and information fusion. (https://link.springer.com/book/10.1007/978-981-97-3140-4) | ||
650 |
_aFuzzy decision making _920553 |
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700 |
_aXu, Zeshui _920554 |
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700 |
_aZhang, Shen _920555 |
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942 |
_cBK _2ddc |
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999 |
_c8499 _d8499 |