Multi-attribute decision problems with uncertainty largely exist in the real world, it is very necessary to solve these problems. The paper proposes a grey correlation method based on maximizing deviation to solve the multiple attribute decision-making problems under risk in which the weight is unknown and attribute values are interval numbers. In the grey correlation method, according to diffe...

The research described in this paper addresses issues of designing a computationally effective decision support system which can assist a decision maker in making an optimal choice between several discrete alternatives. A new hybrid approach to multi-attribute decision making under uncertainty incorporating Neural Networks and the Dempster-Shafer theory of evidence is introduced. A neural netwo...

In order to produce and develop a s oftware system, it is necessary to have a method of choosing a s uitable software architecture which satisfies the required quality attributes and maintains a trade-off between sometimes conflicting ones. Each software architecture includes a set of design decisions for each of which there are various alternatives, satisfying the quality attributes differentl...

Authors’ Notes This chapter was written with the support of grants from the National Science Foundation to the first (SBR-9730822) and third (BCS-9905397) authors. Support to the second author was provided by the Grantin-Aid for Scientific Research 11610096 from the Ministry of Education, Culture, Sports, Science and Technology of Japan. The chapter was completed while the third author held a N...