Multi-criteria Interval Intuitionistic Fuzzy Decision-making Approach with Incomplete Certain Information
Jian‐qiang Wang · Kongzhi yu juece · 2006
A multi-criteria ranking method is proposed in which the information on the criteria's weights is incomplete certain and criteria's values is interval intuitionistic fuzzy set.Using evidential reasoning algorithms,the criteria values are aggregated,and the interval intuitionistic fuzzy sets of alternatives are abtained.The distances between alternatives and idea /anti-idea alternatives are computed.Considering the incomplete certain information on weights,a nonlinear programming model is developed.By using particle swarm optimization algorithms to solve the nonlinear programming models,the optimal criteria weights are gained.And ranking is performed through the comparison of the distances between the alternatives and idea/anti-idea alternative.Finally,an example shows the feasibility and availability of this method.