engagement
发表于 2025-3-26 23:00:44
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谆谆教诲
发表于 2025-3-27 02:33:30
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改革运动
发表于 2025-3-27 06:33:03
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folliculitis
发表于 2025-3-27 12:55:32
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
变异
发表于 2025-3-27 17:23:15
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Cupping
发表于 2025-3-27 21:48:55
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
微生物
发表于 2025-3-28 00:29:01
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coalition
发表于 2025-3-28 03:43:54
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
前兆
发表于 2025-3-28 09:16:30
Investigating Smart City Applications: A Case Study from İstanbuly 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
MOAN
发表于 2025-3-28 12:13:00
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