Combinatorial Optimization Model for Group Decision-Making

Author:

Korsemov Dilian1,Borissova Daniela12,Mustakerov Ivan1

Affiliation:

1. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences , 1113 Sofia , Bulgaria

2. University of Library Studies and Information Technologies , 1784 Sofia , Bulgaria

Abstract

Abstract In the article a combinatorial optimization model for group decision-making problem is proposed. The described model relies on extended simple additive weighting model. A distinctive feature of the proposed model is consideration of the importance of experts’ opinions by introducing weighted coefficient for each of experts. This allows flexible adjustment of differences in knowledge and experience of the group members responsible to determine most preferable alternative to be achieved. The numerical application is illustrated by an example for software engineering adopted from D. Krapohl. The obtained results show the practical applicability of the proposed combinatorial optimization model for group decision-making.

Publisher

Walter de Gruyter GmbH

Subject

General Computer Science

Reference30 articles.

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3. 3. Borissova, D. Group Decision Making for Selection of k-Best Alternatives. – Compt. Rend. Acad. bulg. Sci., Vol. 69, 2016, No 2, pp. 183-190.

4. 4. Borissova, D., I. Mustakerov, D. Korsemov. Business Intelligence System via Group Decision Making. – Cybernetics and Information Technologies, Vol. 16, 2016, No 3, pp. 219-229.10.1515/cait-2016-0045

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