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Titlebook: Intelligent and Fuzzy Systems; Intelligent Industri Cengiz Kahraman,Sezi Cevik Onar,Irem Ucal Sari Conference proceedings 2024 The Editor(s

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樓主: 傳家寶
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發(fā)表于 2025-3-26 23:00:44 | 只看該作者
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發(fā)表于 2025-3-27 02:33:30 | 只看該作者
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發(fā)表于 2025-3-27 06:33:03 | 只看該作者
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發(fā)表于 2025-3-27 12:55:32 | 只看該作者
Fuzzy Evaluation of Stakeholders’ Aspects in Water Resources Managementht’s assessment of the criteria based on the stakeholders’ opinion. This process is very useful in water resources management since in such a way a bottom-up management is created that eliminates conflicts and strengthens solutions viability. A sub-problem of this goal, is the importance (weight) of
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發(fā)表于 2025-3-27 17:23:15 | 只看該作者
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2367-3370 nded readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying intelligent and fuzzy techniques. The book covers fuzzy logic theory and applications, heuristics and met978-3-031-70017-0978-3-031-70018-7Series ISSN 2367-3370 Series E-ISSN 2367-3389
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發(fā)表于 2025-3-28 00:29:01 | 只看該作者
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發(fā)表于 2025-3-28 03:43:54 | 只看該作者
Evaluation of?Business Intelligence Tools for?the?Logistics Sector with?Hesitant Fuzzy Hybrid MCDM M Multiple Objective Optimization on the basis of Ratio Analysis plus Full Multiplicative Form (HF-MULTIMOORA) methods are implemented to compare the alternatives. Five different Business intelligence tools were evaluated concerning eleven comprehensive criteria. This exhaustive evaluation, conducted
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發(fā)表于 2025-3-28 09:16:30 | 只看該作者
Investigating Smart City Applications: A Case Study from ?stanbuly are ranked taking into account six determined criteria. The feedback of decision-makers is utilized in the assessment of projects. The linguistic responses of decision-makers are incorporated into the fuzzy AHP-MARCOS method, a multi-criteria decision making (MCDM) model using Pythagorean fuzzy nu
40#
發(fā)表于 2025-3-28 12:13:00 | 只看該作者
Fermatean Fuzzy TOPSIS Method Based on Prospect Theoryod based on prospect theory is proposed, Calculating the comprehensive gain/loss ratio to rank the alternatives. The results show that the optimal choice is S3 and the discriminant mean of the absolute value of . obtained by pooling expert fuzzy evaluations using the Fermatean fuzzy TOPSIS method ba
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