Hallucination risk and trustworthiness of generative AI systems based on IVMPF-MABAC decision-making strategies. [PDF]
Hsiao B +5 more
europepmc +1 more source
Quality of basketballs of international level sports using an intelligent decision algorithm involving multiple experts. [PDF]
Mao C.
europepmc +1 more source
Application of Neutrosophic SuperHyperSoft Sets in MADM
Ramesh Ramasamy +2 more
openaire +2 more sources
Hybrid decision support system disaster management: application of lattice ordered q-rung linear Diophantine fuzzy hypersoft sets. [PDF]
Vimala J +5 more
europepmc +1 more source
An intelligent algorithm for optimizing player positioning using circular intuitionistic fuzzy COCOSO with Einstein aggregation. [PDF]
Fang Z, Yao X, Song M.
europepmc +1 more source
Application of MADM methods in Industry 4.0: A literature review
Industry 4.0 has received inordinate attention from the business as well as research communities. Along with the development of Industry 4.0 applications and the diversity of potential alternatives, Multi-Attribute Decision Making (MADM) techniques have been employed by researchers as systematic approaches to support the decision-making processes ...
Dursun Delen +2 more
exaly +6 more sources
Using interval weights in MADM problems [PDF]
The choice of weights vectors in multiple attribute decision making (MADM) problems has generated an important literature, and a large number of methods have been proposed for this task. In some situations the decision maker (DM) may not be willing or able to provide exact values of the weights, but this difficulty can be avoided by allowing the DM to ...
Bonifacio Llamazares
exaly +3 more sources
Associated Statistical Parameters’ Aggregations in Interactive MADM
From recent studies, the concept of “monotone expectation” (ME) of Interactive Multi-Attribute Decision Making (MADM) is well known, which was developed for the case of different fuzzy sets. This article develops the concept of “monotone expectation” for such statistical parameters as variance, k-order moment and covariance.
Gia Sirbiladze
exaly +3 more sources
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Fuzzy MADM: An outranking method
European Journal of Operational Research, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tarik Aouam +2 more
openaire +2 more sources
Dealing with multi-attribute decision making (MADM) problems, the comprehensive weighted model is a simple tool. But how to determine weights is a critical problem in this method. In this paper, beginning with a discussion of the term “weight”, we discuss present variable weighting methods.
null Wang huiyong +2 more
openaire +1 more source

