A Multi-Criteria Decision Making approach based on the Choquet integral for assessing the credibility of User-Generated Content

Pasi, Gabriella; Viviani, Marco; Carton, Alexandre

doi:10.1016/j.ins.2019.07.037

Cited by 31 publications

(16 citation statements)

References 20 publications

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“…FM is a very effective approach to measure the expected utility of uncertain events and can be used to describe the interaction of input parameters, and also has achieved in triumph in MAGDM. [46][47][48][49] These Choquet-based AOs can reflect the importance of various input data or their locations, and consider the relationship between data itself and their location. However, these approaches based upon Choquet integral have the following three drawbacks.…”

Section: Motivationsmentioning

confidence: 99%

Group decision support methodology based upon the multigranular generalized orthopair 2‐tuple linguistic information model

Liu

Abdullah

et al. 2021

Int J Intell Syst

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In multiattribute group decision-making (MAGDM), experts often articulate their preference information to support decision-making by applying the multigranular linguistic model. Thus, the present work aims to introduce a novel MAGDM model to manage multigranular generalized orthopair 2-tuple linguistic information (GO2TLI). To begin with, a generalized orthopair 2-tuple linguistic model is put forward with the attempt of taking advantages of both q-rung orthopair fuzzy set (q-ROFS) and the 2-tuple linguistic model, while a transformation approach is supplied to tackle the consistency of multigranular GO2TLI. In addition, the Archimedean Copula as well as the Co-Copula operators are extended to handle GO2TLI along with their operational laws, to comprehensively model the relationship among attributes and experts. The Banzhaf Choquet-Copula aggregation operators on the generalized orthopair 2-tuple linguistic (GO2TLBCCA) are introduced, also some of its properties discussed. Third, the algorithms for regulating and determining the fuzzy measure (FM) of attributes and experts sets are proposed, followed by the corresponding decision-making approaches based upon the proposed GO2TLBCCA. The proposed MAGDM model can not only accommodate effectively the FMs of attribute (and expert) sets which are given subjectively, but also

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Section: Motivationsmentioning

confidence: 99%

Group decision support methodology based upon the multigranular generalized orthopair 2‐tuple linguistic information model

Liu

Abdullah

et al. 2021

Int J Intell Syst

View full text Add to dashboard Cite

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“…Different an numerous are the families of aggregation operators to be considered for tackling the problem, depending on the preferences of the decision maker [45]. Recently, an MCDM approach has been proposed that allows to model interacting features, by employing the Choquet integral [37]; in this work, and in general in MCDM approaches based on aggregation operators, it can be complex to define the model when the number of features increases.…”

Section: Information Classification (And Ranking)mentioning

confidence: 99%

Data Confidentiality and Information Credibility in On-line Ecosystems

Livraga

Viviani

2019

Proceedings of the 11th International Conference on Management of Digital EcoSystems

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Recent ICTs paradigms such as cloud computing, data outsourcing, digital data markets, and the spread of multiple social media based on Web 2.0 technologies, facilitate the exchange of large data and information flows among a myriad of interconnected devices and users, for different aims and purposes. This complex scenario underlies the development of online ecosystems of interacting entities, where the concepts of community, self-organization, evolution and knowledge are fundamental.While the benefits connected to such kind of ecosystems are intuitive also to the everyday man, no lunch comes for free, and such a complex and interconnected scenario entails a number of issues connected to both data and information generation and diffusion that should be carefully addressed. For example, in the data sharing context, genuine data could be manipulated, tampered with, accessed without permission, breached, or improperly disclosed; in the Social Web context, low-quality data and/or misinformation could be diffused. With respect to the above-mentioned issues, in this paper we survey some of the possible approaches proposed in the literature for ensuring adequate data protection, with particular reference to data confidentiality, and for assessing information credibility in complex online environments. We also provide a conclusive discussion aimed at illustrating the importance of relating these concepts. CCS CONCEPTS• Information systems → World Wide Web; • Security and privacy → Pseudonymity, anonymity and untraceability; Social aspects of security and privacy; Database and storage security.

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“…In short, for any decision analysis involving n number of evaluation attributes, one will need to estimate the 2 n values of fuzzy measure [14]. Hence, the complexity involved in the procedure of fuzzy measure estimation grows exponentially with the increase of n [15]. Various forms of fuzzy measure such as λ 0 -measure have been developed to overcome this complexity [16].…”

Section: Introductionmentioning

confidence: 99%

An Alternate Unsupervised Technique Based on Distance Correlation and Shannon Entropy to Estimate λ0-Fuzzy Measure

2020

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λ0-measure is a special type of fuzzy measure. In the context of multi-attribute decision making (MADM), the measure can be used together with Choquet integral to model the interdependencies that usually present between the decision attributes. Unfortunately, the range of techniques available to estimate λ0-measure values is too limited i.e., only four techniques are available to this date. Besides, the review on literature shows that each of these existing techniques either requires some initial data from the decision-makers or misrepresents the actual interdependencies held by the attributes. Thus, an alternate unsupervised technique is needed for the estimation of λ0-measure values. This study has developed such a technique by integrating the idea of distance correlation and Shannon entropy. In this technique, the two inputs required to estimate λ0-measure values, namely, the interdependence degrees and fuzzy densities are determined by utilizing the distance correlation measures and entropy weights, respectively. An evaluation to rank the websites owned by five different hospitals located in Sabah, Malaysia, was conducted to illustrate the usage of the technique. A similar evaluation was also performed with a few selected MADM techniques for comparison purposes, where the proposed technique is found to have produced the most consistent ranking. From the literature perspective, this study has contributed an alternate unsupervised technique that can estimate λ0-measure values without necessitating any additional data from the decision-makers, and at the same time can better capture the interdependencies held by the attributes.

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A Multi-Criteria Decision Making approach based on the Choquet integral for assessing the credibility of User-Generated Content

Cited by 31 publications

References 20 publications

Group decision support methodology based upon the multigranular generalized orthopair 2‐tuple linguistic information model

Group decision support methodology based upon the multigranular generalized orthopair 2‐tuple linguistic information model

Data Confidentiality and Information Credibility in On-line Ecosystems

An Alternate Unsupervised Technique Based on Distance Correlation and Shannon Entropy to Estimate λ0-Fuzzy Measure

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