In this paper, we focus on group decision making problems with uncertain preference ordinals, in which the weight information of decision makers is completely unknown or partly unknown. First of all, the consistency and deviation measures between two uncertain preference ordinals are defined. Based on the two measures, a multi-objective optimization model which aims to maximize the deviation of...

In multiobjective optimization, the trade-o€ information between di€erent objective functions is probably the most important piece of information in a solution process to reach the most preferred solution. Generating methods are the methods in generating noninferior solutions. Di€erent generating methods provide decision makers trade-o€ information in di€erent forms. Various generating methods ...

Predicting the yield of various aromatic plants with the help

The paper presents main features of the conic scalarization method in multiobjective optimization. The conic scalarization method guarantee to generate all proper efficient solutions and does not require any kind of cenvexity or boundedness conditions. In addition the preference and reference point information of the decision maker is taken into consideretion by this method. Also in this paper,...

Article history: Received 19 June 2014 Received in revised form 29 December 2014 Accepted 1 March 2015 Available online 7 March 2015