Strategic Analysis of a Regulatory Conflict Using Dempster-Shafer Theory and AHP for Preference Elicitation

Maisa M. Silva , Keith W. Hipel , D. Marc Kilgour , Ana Paula C. S. Costa

Journal of Systems Science and Systems Engineering ›› 2019, Vol. 28 ›› Issue (4) : 415 -433.

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Journal of Systems Science and Systems Engineering ›› 2019, Vol. 28 ›› Issue (4) : 415 -433. DOI: 10.1007/s11518-019-5420-1
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Strategic Analysis of a Regulatory Conflict Using Dempster-Shafer Theory and AHP for Preference Elicitation

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Abstract

Dempster-Shafer Theory (DST) and the Analytic Hierarchy Process (AHP) are integrated in order to elicit preference information from experts regarding decision makers (DMs) involved in a regulatory conflict. More precisely, DST is used for combining expert knowledge regarding preferences of a specific DM(the regulatory body), and AHP is employed for ranking feasible states in the conflict for this same DM. In order to illustrate how this preference elicitation proposal can be conveniently implemented in practice within the Graph Model for Conflict Resolution (GMCR), it is applied to a real construction dispute located in the city of Ipojuca, Brazil. The conflict is modeled with three DMs: support, opposition, and the regulatory body. Results show that the new preference methodology possesses many inherent advantages including high flexibility, the ability to capture uncertainty or even ignorance about preferences, the possibility of combining expert knowledge with respect to missing preferences, and a substantial reduction in the number of pairwise comparisons of states required to express preference information.

Keywords

Regulatory conflict / graph model for conflict resolution / absence of preference information / DST-AHP

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Maisa M. Silva, Keith W. Hipel, D. Marc Kilgour, Ana Paula C. S. Costa. Strategic Analysis of a Regulatory Conflict Using Dempster-Shafer Theory and AHP for Preference Elicitation. Journal of Systems Science and Systems Engineering, 2019, 28(4): 415-433 DOI:10.1007/s11518-019-5420-1

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