International Journal of Management and Business Studies

International Journal of Management and Business Studies ISSN 2167-0439 Vol. 10 (1), pp. 001-016, January, 2020. © International Scholars Journals

Full Length Research Paper

Designing a group decision support system under uncertainty using group Fuzzy analytic network process (ANP)

Wei Zhong Yang1*, Yu Hui Ge1, Jian Jia He1 and Bin Liu2

1School of Management, University of Shanghai for Science and Technology Shanghai, P. R. China, 200093.

2Nuclear Energy Economics and Management Research Centre, University of South China, Hengyang, P. R. China, 421000.

Accepted 30 August, 2019


Handling uncertainty in decision making is recently receiving considerable attention by researchers. Advances in group Fuzzy analytic network process (ANP) are discussed to support decision making because of the complexity and vagueness under uncertainty. An adaptive group Fuzzy ANP group decision support system (DSS) under uncertainty is put forth that makes up for some deficiencies in the conventional ANP. Fuzzy judgments are firstly used when it is difficult to characterize the uncertainty by point-valued judgments due to partially known information, and a bipartite graph is formulated to model the problem of group decision making under uncertainty. Then, a Fuzzy prioritization method is proposed to derive the local priorities from missing or inconsistent Fuzzy pairwise comparison judgments. As a result of the unlikeliness for all the decision makers to evaluate all elements under uncertainty, an original aggregation method is developed to cope with the situation where some of the local priorities are missing. Finally, an evaluation of petroleum contaminated site remedial countermeasures using the proposed group Fuzzy ANP, indicates that the presented group DSS can effectively handle uncertainty and support group decision making with high level of user satisfaction.

Key words: Group decision support, uncertainty, analytic network process, group Fuzzy ANP, aggregation, site remedial countermeasures.