標(biāo)題: Titlebook: Decision-Making Analyses with Thermodynamic Parameters and Hesitant Fuzzy Linguistic Preference Rela; Peijia Ren,Zeshui Xu Book 2021 The E [打印本頁(yè)] 作者: lexicographer 時(shí)間: 2025-3-21 19:29
書目名稱Decision-Making Analyses with Thermodynamic Parameters and Hesitant Fuzzy Linguistic Preference Rela影響因子(影響力)
書目名稱Decision-Making Analyses with Thermodynamic Parameters and Hesitant Fuzzy Linguistic Preference Rela影響因子(影響力)學(xué)科排名
書目名稱Decision-Making Analyses with Thermodynamic Parameters and Hesitant Fuzzy Linguistic Preference Rela網(wǎng)絡(luò)公開度
書目名稱Decision-Making Analyses with Thermodynamic Parameters and Hesitant Fuzzy Linguistic Preference Rela網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Decision-Making Analyses with Thermodynamic Parameters and Hesitant Fuzzy Linguistic Preference Rela被引頻次
書目名稱Decision-Making Analyses with Thermodynamic Parameters and Hesitant Fuzzy Linguistic Preference Rela被引頻次學(xué)科排名
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書目名稱Decision-Making Analyses with Thermodynamic Parameters and Hesitant Fuzzy Linguistic Preference Rela讀者反饋
書目名稱Decision-Making Analyses with Thermodynamic Parameters and Hesitant Fuzzy Linguistic Preference Rela讀者反饋學(xué)科排名
作者: squander 時(shí)間: 2025-3-21 22:02 作者: 啞巴 時(shí)間: 2025-3-22 01:43
A Thermodynamic Method for Intuitionistic Fuzzy Decision Making,imulations for verifying the significance of information quality (captured by thermodynamic parameters) and applications in assisting the hierarchical medical system to show the effectiveness of the method.作者: Ruptured-Disk 時(shí)間: 2025-3-22 05:56
A Thermodynamic Method for Heterogeneous Decision Making Based on Confidence Level,ibe the numerical values and distribution of heterogeneous information, and deriving final results by TODIM. Furthermore, experiments are designed to discuss the impact of decision makers’ sensitive attitude towards uncertainty on results, and a case study on selecting a green supplier is performed toillustrate the feasibility of the method.作者: Absenteeism 時(shí)間: 2025-3-22 11:22
A Group Decision-Making Method for Hesitant Fuzzy Linguistic Preference Relations Based on ModifiedHFLPRs. Experiments are furtherly shown to discuss the convergence of the proposed consensus model. Finally, the chapter provides the illustration of the model through a case study in choosing a flood discharge technique for a hydropower station.作者: 勤勉 時(shí)間: 2025-3-22 13:46
A Consensus Model for Hesitant Fuzzy Linguistic Preference Relation Based on Consistency Driven,oup consensus with consistent HFLPRs. The chapter further shows experiments to discuss the threshold for consistency index and applicable conditions of the method. Finally, the chapter demonstrates the practicability of the method through a case in assessing the erosion impacts of water conservancy projects on environment.作者: 勤勉 時(shí)間: 2025-3-22 20:11
https://doi.org/10.1007/978-0-8176-4877-0rameter in the model and verify the availability of the model. The extension of the model with incomplete information is furtherly addressed. Finally, the chapter presents a case study on assessing the impacts of hydropower stations‘ flood discharge and energy dissipation.作者: 小步走路 時(shí)間: 2025-3-22 23:10 作者: 帶傷害 時(shí)間: 2025-3-23 05:11 作者: Notorious 時(shí)間: 2025-3-23 06:58
https://doi.org/10.1007/978-90-481-9550-3imulations for verifying the significance of information quality (captured by thermodynamic parameters) and applications in assisting the hierarchical medical system to show the effectiveness of the method.作者: otic-capsule 時(shí)間: 2025-3-23 13:28
Linearizable Strict-Feedforward Systemsibe the numerical values and distribution of heterogeneous information, and deriving final results by TODIM. Furthermore, experiments are designed to discuss the impact of decision makers’ sensitive attitude towards uncertainty on results, and a case study on selecting a green supplier is performed toillustrate the feasibility of the method.作者: obsession 時(shí)間: 2025-3-23 16:22
Linearizable Strict-Feedforward SystemsHFLPRs. Experiments are furtherly shown to discuss the convergence of the proposed consensus model. Finally, the chapter provides the illustration of the model through a case study in choosing a flood discharge technique for a hydropower station.作者: Rinne-Test 時(shí)間: 2025-3-23 21:46
https://doi.org/10.1007/978-3-030-34076-6oup consensus with consistent HFLPRs. The chapter further shows experiments to discuss the threshold for consistency index and applicable conditions of the method. Finally, the chapter demonstrates the practicability of the method through a case in assessing the erosion impacts of water conservancy projects on environment.作者: archenemy 時(shí)間: 2025-3-23 23:27 作者: 圣歌 時(shí)間: 2025-3-24 05:50
Literature Review, perspectives of decision making with criteria entropy and decision making with entropy applications. Later on, we review the decision making methods based on hesitant fuzzy linguistic preference relation, which involves the models for deriving priorities, methods with consistency measures and group作者: Expiration 時(shí)間: 2025-3-24 08:58
A Thermodynamic Method for Intuitionistic Fuzzy Decision Making,d by people, in this chapter, we present a thermodynamic method for multi-criteria decision making with IFSs studied in [.]. Furthermore, we provide simulations for verifying the significance of information quality (captured by thermodynamic parameters) and applications in assisting the hierarchical作者: Hamper 時(shí)間: 2025-3-24 10:53 作者: 飾帶 時(shí)間: 2025-3-24 17:51
A Thermodynamic Method for Heterogeneous Decision Making Based on Confidence Level,ied in [.]), which involves modifying criteria weights based on decision makers’ confidence on evaluations, applying thermodynamic parameters to describe the numerical values and distribution of heterogeneous information, and deriving final results by TODIM. Furthermore, experiments are designed to 作者: Neutropenia 時(shí)間: 2025-3-24 22:19
A Priority Programming Model for Hesitant Fuzzy Linguistic Preference Relation, describing decision maker’s satisfaction degree with the increasing marginal utility, defining a hyperplane in priority space and establishing a mathematical programming model based on the maximization of decision maker’s satisfaction degree. Experiments are performed to discuss the undetermined pa作者: 透明 時(shí)間: 2025-3-25 00:04 作者: Reservation 時(shí)間: 2025-3-25 04:53
A Consensus Model for Hesitant Fuzzy Linguistic Preference Relation Based on Consistency Driven,lves building a procedure for consistency checking and deriving priorities from consistency HFLPRs, and presenting a consensus procedure to achieve group consensus with consistent HFLPRs. The chapter further shows experiments to discuss the threshold for consistency index and applicable conditions o作者: gimmick 時(shí)間: 2025-3-25 07:57 作者: 不透明性 時(shí)間: 2025-3-25 11:40
Adya P. Singh,Bernard S.W. Dawsont fuzzy linguistic preference relation and thermodynamics. Later on, we demonstrate the importance of investigating decision making with thermodynamic parameters and decision making with hesitant fuzzy linguistic preference relation, respectively. Finally, aim of the book is provided in the last section.作者: archetype 時(shí)間: 2025-3-25 19:30 作者: CAGE 時(shí)間: 2025-3-25 21:49
ODEs with Heat PDE Actuator Dynamicsgical behaviors in risk, this chapter introduces the hesitant fuzzy thermodynamic method with prospect theory studied in [.]. Experiments are provided to demonstrate the validation of the method, as well as a case study on emergency decision making in the firing and exploding are presented to show the effectiveness of the method.作者: 起來(lái)了 時(shí)間: 2025-3-26 01:19
https://doi.org/10.1007/978-3-030-34076-6This chapter presents conclusions for the whole book. Firstly, the main work of the book is summed up. Then, the chapter ends up with the future work for the topics of decision making methods based on thermodynamic parameters and decision making methods based on hesitant fuzzy linguistic preference relations.作者: 萬(wàn)靈丹 時(shí)間: 2025-3-26 07:41
Conclusions and Outlooks,This chapter presents conclusions for the whole book. Firstly, the main work of the book is summed up. Then, the chapter ends up with the future work for the topics of decision making methods based on thermodynamic parameters and decision making methods based on hesitant fuzzy linguistic preference relations.作者: 沙漠 時(shí)間: 2025-3-26 11:21 作者: NAUT 時(shí)間: 2025-3-26 13:54
Literature Review, perspectives of decision making with criteria entropy and decision making with entropy applications. Later on, we review the decision making methods based on hesitant fuzzy linguistic preference relation, which involves the models for deriving priorities, methods with consistency measures and group consensus models.作者: filial 時(shí)間: 2025-3-26 17:17
A Thermodynamic Method for Hesitant Fuzzy Decision Making Based on Prospect Theory,gical behaviors in risk, this chapter introduces the hesitant fuzzy thermodynamic method with prospect theory studied in [.]. Experiments are provided to demonstrate the validation of the method, as well as a case study on emergency decision making in the firing and exploding are presented to show the effectiveness of the method.作者: atopic-rhinitis 時(shí)間: 2025-3-26 21:25
https://doi.org/10.1007/978-3-030-73253-0Computational Intelligence; Fuzziness; Decision- Making; Decision Making Analysis; Fuzzy Systems作者: 抒情短詩(shī) 時(shí)間: 2025-3-27 04:33
978-3-030-73255-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 繼承人 時(shí)間: 2025-3-27 08:38 作者: Albumin 時(shí)間: 2025-3-27 11:05
Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/d/image/264340.jpg作者: Organonitrile 時(shí)間: 2025-3-27 13:58 作者: prosthesis 時(shí)間: 2025-3-27 18:29 作者: 謊言 時(shí)間: 2025-3-28 00:29
https://doi.org/10.1007/978-90-481-9550-3d by people, in this chapter, we present a thermodynamic method for multi-criteria decision making with IFSs studied in [.]. Furthermore, we provide simulations for verifying the significance of information quality (captured by thermodynamic parameters) and applications in assisting the hierarchical作者: 摘要 時(shí)間: 2025-3-28 06:02 作者: 進(jìn)入 時(shí)間: 2025-3-28 08:00
Linearizable Strict-Feedforward Systemsied in [.]), which involves modifying criteria weights based on decision makers’ confidence on evaluations, applying thermodynamic parameters to describe the numerical values and distribution of heterogeneous information, and deriving final results by TODIM. Furthermore, experiments are designed to 作者: Pedagogy 時(shí)間: 2025-3-28 14:28 作者: Facet-Joints 時(shí)間: 2025-3-28 18:15
Linearizable Strict-Feedforward Systemsinvolves clustering HFLPRs based on a kernel function, and establishing a consensus model based on measuring the modified extents of decision makers’ HFLPRs. Experiments are furtherly shown to discuss the convergence of the proposed consensus model. Finally, the chapter provides the illustration of 作者: Fabric 時(shí)間: 2025-3-28 21:52
https://doi.org/10.1007/978-3-030-34076-6lves building a procedure for consistency checking and deriving priorities from consistency HFLPRs, and presenting a consensus procedure to achieve group consensus with consistent HFLPRs. The chapter further shows experiments to discuss the threshold for consistency index and applicable conditions o作者: outrage 時(shí)間: 2025-3-29 01:02
Decision-Making Analyses with Thermodynamic Parameters and Hesitant Fuzzy Linguistic Preference Rela作者: Arbitrary 時(shí)間: 2025-3-29 03:38
