Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods

Morente-Molinera, Juan Antonio; Kou, Gang; Crespo, Rubén González; Corchado, Juan M.; Herrera‐Viedma, Enrique

doi:10.1016/j.knosys.2017.09.010

Cited by 112 publications

(31 citation statements)

References 39 publications

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“…DMs prefer to choose LTSs with different granularities because they have various knowledge backgrounds, experiences, and judgement capabilities, that is, using multigranular LTSs to elicit their expressions (Morente‐Molinera et al, ; Nie, Tian, Wang, Wang, & Wang, ). Recently, many kinds of computational models have been developed to deal with multigranular GDM problems with multigranular linguistic information (Morente‐Molinera, Kou, González‐Crespo, Corchado, & Herrera‐Viedma, ; Morente‐Molinera et al, ; Morente‐Molinera et al, ; Zhang, Zhang, & Wang, ; Zhang, Guo, & Martínez, ).…”

Section: Literature Reviewmentioning

confidence: 99%

Group multigranular linguistic QFD for prioritizing service designs with combined weighting method

et al. 2019

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Qualification for the importance degree of service designs (SDs) is an essential stage in promoting accommodation performances to satisfy customers and gain market shares. Although various methods have been applied to derive the priorities of SDs, they do not effectively deal with the vagueness of information and the heterogeneity of decision makers (DMs). This study presents an improved quality function deployment (QFD) for prioritizing SDs. Multigranular unbalanced linguistic term sets are used to capture evaluators' ratings to cope with vague information. The multigranular linguistic information is unified by using a novel uniform method. This kind of information then is represented as linguistic distribution assessments using the concept of random preferences based on possibility interpretations of weight information. A consensus‐based mathematical programming model is established to determine the weights of DMs. Moreover, a combined structure that combines maximizing deviation and best worst methods is used to derive basic weights of SDs. Finally, an illustrative example of island accommodation management in Weizhou Island is provided to demonstrate the applicability and advantages of the proposed QFD framework.

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Section: Literature Reviewmentioning

confidence: 99%

Group multigranular linguistic QFD for prioritizing service designs with combined weighting method

et al. 2019

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“…Usually, in a decision-making problem in a multi-criteria group with linguistic preference relationships we can find a finite set of alternatives X = {x 1 ,...,x m } (m ≥ 2) and a finite group of experts E = {e 1 ,…, e r } (r ≥ 1) that express their preferences using a fuzzy linguistic preference relationship according to a finite set of criteria Y = {y 1 ,...,y n } (n ≥ 2). In this context, a decision-making problem in a multi-criteria group consists in obtaining a classification of X based on preferences p k ij expressed by the experts (Morente-Molinera, Kou, González-Crespo, Corchado, & Herrera-Viedma, 2017;Herrera, Herrera-Viedma, & Martínez, 2000) where p k ij indicates the preference of the alternative x j for criterion y i expressed by the expert e k .…”

Section: The Problem Of Multi-criteria Group Decision Making With Linmentioning

confidence: 99%

Fuzzy Multicriteria for Determining Reasonable Adjustment in Housing

Méndez

Ávila

et al. 2019

Technological and Economic Development of Economy

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Legislative initiatives regarding universal accessibility promote the elimination of architectural barriers. This is a positive measure as it aims to ensure equal rights and opportunities for disabled people, in accordance with the Convention on the Rights of Persons with Disabilities (United Nations, 2006). One of the challenges facing society today is the determination of reasonable accommodation, a concept that encompasses those necessary modifications and adjustments which do not impose a disproportionate burden. For this purpose, technical, economic and social aspects shall be taken into consideration, as required by legislation. This paper proposes reasonable accommodation in residential buildings, taking into account the different options for its attainment, by applying a multi-criteria analysis based on a wide range of objective indicators of three types: technical, social and economic. This proposal was one of the objectives of the R + D + i Project called “VIVable-From accessible housing to sustainable housing: The essence of reasonable accommodation”. From VIVable, the fuzzy multi-criteria assessment method for determining reasonable accommodation may be totally extrapolated to other uses. At the same time, the proposed method may also be extrapolated to other countries where basic requirements for universal accessibility in buildings and equal rights of persons with disabilities are standardized.

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“…• Providing preferences: Experts provide their preferences to the system. Experts carry out a pairwise comparison of the alternatives [5,14,17]. and provide information about how much they prefer one alternative over another.…”

Section: Group Decision Makingmentioning

confidence: 99%

Extracting group decision making experts' preferences from debate transcriptions using sentiment analysis

Morente-Molinera

Cabrerizo

Pérez

et al. 2019

Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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Traditional group decision making methods work under the assumption that experts must provide their preferences to a computational system after carrying out a thorough debate. Nevertheless, this is not natural since the mean where experts express their ideas and preferences is inside the debate. In this paper, a novel method that is capable of extracting experts' preferences directly from the debate transcripts is presented. Thanks to this, experts do not have to go through a stressful process in order to provide the same information that they have already provide in the discussion part.

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Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods

Cited by 112 publications

References 39 publications

Group multigranular linguistic QFD for prioritizing service designs with combined weighting method

Group multigranular linguistic QFD for prioritizing service designs with combined weighting method

Fuzzy Multicriteria for Determining Reasonable Adjustment in Housing

Extracting group decision making experts' preferences from debate transcriptions using sentiment analysis

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