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http://hdl.handle.net/1942/29788
Title: | Explicit methods for attribute weighting in multi-attribute decision-making: a review study | Authors: | Pena, Julio NAPOLES RUIZ, Gonzalo Salgueiro, Yamisleydi |
Issue Date: | 2020 | Publisher: | SPRINGER | Source: | ARTIFICIAL INTELLIGENCE REVIEW, 53 (5) p. 3127-3152 | Abstract: | Attribute weighting is a key aspect when modeling multi-attribute decision analysis problems. Despite the large number of proposals reported in the literature, reaching a consensus on the most convenient method for a certain scenario is difficult, if not impossible. As a first contribution of this paper, we propose a categorization of existing methodologies, which goes beyond the current taxonomy (subjective, objective, hybrid). As a second contribution, supported by the new categorization, we survey and critically discuss the explicit weighting methods (which are closely related to the subjective ones). The critical discussion allows evaluating how much a solution can deviate from the expected one if no foresight is taken. As a final contribution, we summarize the main drawbacks from a global perspective and propose some insights to correct them. Such a discussion attempts to improve the reliability of decision support systems involving human experts. | Notes: | Pena, J (corresponding author), Cent Univ Las Villas, Ctr Studies Computat Mech & Numer Methods Engn, Santa Clara, Cuba. jpena@uclv.cu; gonzalo.napoles@uhasselt.be; ysalgueiro@utalca.cl |
Other: | Pena, J (corresponding author), Cent Univ Las Villas, Ctr Studies Computat Mech & Numer Methods Engn, Santa Clara, Cuba. jpena@uclv.cu; gonzalo.napoles@uhasselt.be; ysalgueiro@utalca.cl | Keywords: | Attribute weighting;Decision making;Multiple attribute decision making;Explicit weighting methods | Document URI: | http://hdl.handle.net/1942/29788 | ISSN: | 0269-2821 | e-ISSN: | 1573-7462 | DOI: | 10.1007/s10462-019-09757-w | ISI #: | WOS:000534130800001 | Rights: | Springer Nature B.V. 2019 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2021 |
Appears in Collections: | Research publications |
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manuscript.pdf Restricted Access | Peer-reviewed author version | 574.21 kB | Adobe PDF | View/Open Request a copy |
Pena2019_Article_ExplicitMethodsForAttributeWei.pdf Restricted Access | Published version | 499.62 kB | Adobe PDF | View/Open Request a copy |
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