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Aiming at the interval rough numbers of multiple attribute decision making (MADM) problems, a method of ranking interval rough numbers based on possibility degree is proposed. First, the deviation degree for interval rough numbers is given, and then an optimal model with maximum deviation to solve the attribute weights is set up. Second, a possibility degree formula of interval rough numbers is proposed...
With respect to the multiplicative complementary judgement matrix, n groups of approximate weight vectors are given by considering the judgement informations in detail provided by decision makers (DMs) in this paper. And some information aggregation operators are used to aggregate these approximate weight vectors according to the credibility degree of alternatives into judgements defined in this paper,...
This paper focuses on the hybrid multiple attribute decision making problem with weight information unknown and defines some new operations of 2-tuple linguistic firstly. Then, an optimization approach based on maximizing deviation theory is proposed to determine the weights of the attributes which they can be used to aggregate the estimated values of different attributes into a collective 2-tuple...
Rough set theory is a new mathematical tool to deal with vagueness and uncertainty. And now it has been widely applied in constructing decision tree which has no hierarchical attributes inside. However, hierarchical attributes exist generally in realistic environment, which leads that decision making has max rules. Using max rules to build decision trees can optimize decision trees and has practical...
Taking into consideration the deficiency of virtual assembly environment for the assembly sequence, the paper proposed an intelligent decision support system based on neural network and expert system. The system combines the virtual assembly technology with intelligent decision support technology, which makes sure that assembly sequence planning process can not only use the technologist's experience,...
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