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標(biāo)題: Titlebook: Applying Fuzzy Logic for the Digital Economy and Society; Andreas Meier,Edy Portmann,Luis Terán Book 2019 Springer Nature Switzerland AG 2 [打印本頁]

作者: Weber-test    時間: 2025-3-21 19:45
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書目名稱Applying Fuzzy Logic for the Digital Economy and Society讀者反饋




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作者: Tremor    時間: 2025-3-21 21:22

作者: Cumulus    時間: 2025-3-22 03:50
A Fuzzy-Based Discounts Recommender System for Public Tax Payment,tional and local governments is based on taxation. Increasing the income through tax payers has been and remains a challenge for government institutions. On the other hand, recommender systems (RSs) have presented evidence of successful results to improve business revenues in the field of eCommerce.
作者: 使顯得不重要    時間: 2025-3-22 07:53

作者: 展覽    時間: 2025-3-22 12:33

作者: calumniate    時間: 2025-3-22 14:03

作者: Metamorphosis    時間: 2025-3-22 17:38
Grey Number Based Methodology for Non-homogeneous Preference Elicitation in Fuzzy Risk Analysis Mane a proper and comprehensive decision when coping with the risks. Many practical risk analysis problems do not have flexibility with regards to knowledge elicitation and disagreements in the group. This is due to the non-homogeneous nature of risk analysts’ preferences that lead to inconsistent agre
作者: Tidious    時間: 2025-3-23 00:52
Fuzzy Bayesian Nets and Influence Diagrams with Cognitive Numerical Judgment of Imprecise Probabilirobabilities expressed by approximate numbers. Subjective probabilities are represented as information granules described by linguistic terms and modeled as triangular fuzzy numbers. The proposed optimization functions proved to be efficient in determination of feasible probability bounds, yet corre
作者: 惡心    時間: 2025-3-23 03:51

作者: 俗艷    時間: 2025-3-23 07:18

作者: 悲痛    時間: 2025-3-23 10:10

作者: 整理    時間: 2025-3-23 15:03
https://doi.org/10.1007/978-3-658-29632-2 Therefore, the implementation of z-numbers is taken into consideration, where it has more authority to describe the knowledge of human being and extensively used in the uncertain information development to deal with linguistic decision making problems. A case study on group of company in Malaysia i
作者: Prostatism    時間: 2025-3-23 18:54
Applying Fuzzy Logic for the Digital Economy and Society
作者: 我沒有命令    時間: 2025-3-23 23:22
Fuzzy Based Investment Portfolio Management,e language and the machines can understand is phenomenal where the traditional mean variance models are lagging. Also, the self-learning feature of the given models are better than the statistical modeling based optimization models. In addition to that, generation of large amount of vague data in to
作者: poliosis    時間: 2025-3-24 03:43

作者: 影響帶來    時間: 2025-3-24 08:40
https://doi.org/10.1007/978-3-319-55886-8 is therefore needed for reflecting the right decision regarding these hypotheses. Different methods of testing hypotheses in a fuzzy environment have already been presented. On the basis of the classical approach, we intend to show how to accomplish a fuzzy test. In particular, we consider that the
作者: Herpetologist    時間: 2025-3-24 14:42
Riitta-Marja Leinonen,Karen Dalkelued generalization of Boolean algebra. After an extensive overview of the theoretical framework, we present two interpolative Boolean-based methods: logical clustering and logical DuPont. Both methods are extended to address portfolio selection problems. Logical clustering method for portfolio sele
作者: 微塵    時間: 2025-3-24 15:55

作者: Abutment    時間: 2025-3-24 21:12

作者: 龍卷風(fēng)    時間: 2025-3-24 23:37

作者: 構(gòu)想    時間: 2025-3-25 03:52
https://doi.org/10.1007/978-3-658-29632-2ceptions (Fuzzy Logic). We apply interpretable fuzzy modeling to human perceptions collected through fuzzy rating scale-based questionnaires. The proposal is validated with a case study regarding Business-to-Consumers websites in the textile and fashion sector. The outcome is a fuzzy model easy to u
作者: 揉雜    時間: 2025-3-25 10:59
https://doi.org/10.1007/978-3-658-29859-3e a proper and comprehensive decision when coping with the risks. Many practical risk analysis problems do not have flexibility with regards to knowledge elicitation and disagreements in the group. This is due to the non-homogeneous nature of risk analysts’ preferences that lead to inconsistent agre
作者: Cabg318    時間: 2025-3-25 13:59
https://doi.org/10.1007/978-3-658-29859-3robabilities expressed by approximate numbers. Subjective probabilities are represented as information granules described by linguistic terms and modeled as triangular fuzzy numbers. The proposed optimization functions proved to be efficient in determination of feasible probability bounds, yet corre
作者: 規(guī)范要多    時間: 2025-3-25 16:53

作者: 打火石    時間: 2025-3-25 23:06

作者: 法律    時間: 2025-3-26 02:14
Book 2019management, recommender systems, performance assessment and risk analysis, among others. Presenting the latest research, with a strong focus on applications and case studies, it is a valuable resource for researchers, practitioners, project leaders and managers wanting to apply or improve their fuzzy-based skills.
作者: 小步走路    時間: 2025-3-26 07:57
https://doi.org/10.1007/978-3-030-03368-2Fuzzy Logic; Vague information processing; Portfolio management; Risk analysis; Performance measurement;
作者: Plaque    時間: 2025-3-26 10:58

作者: Ruptured-Disk    時間: 2025-3-26 15:12
Applying Fuzzy Logic for the Digital Economy and Society978-3-030-03368-2Series ISSN 2196-4130 Series E-ISSN 2196-4149
作者: Countermand    時間: 2025-3-26 20:41
Andreas Meier,Edy Portmann,Luis TeránPresents big data applications for decision making under uncertainty, vagueness and imprecision.Showcases the potential of fuzzy logic with infinite truth values in different domains of application.Pr
作者: dyspareunia    時間: 2025-3-26 23:18

作者: CERE    時間: 2025-3-27 01:06
Miriam Adelman,Tiemi K. Lobato da Costaise citizens on their payments behaviour. The proposed model shows some insights in the use of RSs to increase citizens’ awareness over tax payments and therefore enhance governmental institutions’ incomes. At the end of this chapter, preliminary results of the system developed are presented.
作者: evaculate    時間: 2025-3-27 05:24

作者: 碎石頭    時間: 2025-3-27 09:52

作者: 釘牢    時間: 2025-3-27 16:50

作者: 完整    時間: 2025-3-27 18:20

作者: byline    時間: 2025-3-28 01:26

作者: nautical    時間: 2025-3-28 06:10

作者: 難管    時間: 2025-3-28 08:19

作者: Meander    時間: 2025-3-28 14:05
Fuzzy Bayesian Nets and Influence Diagrams with Cognitive Numerical Judgment of Imprecise Probabilisponding to the human cognitive process. The usage of optimized fuzzy probabilities is illustrated on simple Influence diagram solving the e-commerce transaction. The quadratic programming model is proposed that can be easily solved, and simulation results are concurrent with the experimental findings of subjective probability assessment.
作者: 人工制品    時間: 2025-3-28 18:33
Oilfield Abandonment Decision by Applying a Fuzzy Pay-Off Method for Real Options,nalysis in the digital oilfield context. One example of the application of the model is presented and its results show that taking the abandonment option into account in this case increases the oilfield value.
作者: 使厭惡    時間: 2025-3-28 20:15
2196-4130 resenting the latest research, with a strong focus on applications and case studies, it is a valuable resource for researchers, practitioners, project leaders and managers wanting to apply or improve their fuzzy-based skills.978-3-030-03368-2Series ISSN 2196-4130 Series E-ISSN 2196-4149
作者: 不安    時間: 2025-3-29 01:38

作者: 山崩    時間: 2025-3-29 06:57

作者: PTCA635    時間: 2025-3-29 10:03

作者: FADE    時間: 2025-3-29 14:22
https://doi.org/10.1007/978-3-658-29859-3work also introduces a novel theoretical non-homogeneous consensus reaching methodology that resolves disagreement between risk analysts. A case study on risk analysis decision making is also presented to demonstrate the novelty, validity and feasibility of the proposed methodology.
作者: AXIOM    時間: 2025-3-29 15:35

作者: 因無茶而冷淡    時間: 2025-3-29 21:30
Interpolative Boolean Approach for Fuzzy Portfolio Selection,insight into the structure of companyís earnings and further identify profit drivers to recommend investment actions. The presented methods are validated on S&P 500 stock market data. Logical clustering and logical DuPont methods have proven to be valuable fuzzy tools for an automated stock selection.




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