General Electric’s Research Center has been using soft computing (SC) and related techniques to create decision support systems (DSS) since the early 1980’s. After fielding and maintaining multiple applications we have found many benefits from using soft computing to create knowledge based decision support applications. This chapter will describe the benefits of using SC for creating a DSS and ...

Decision support systems play an important role in many application domains. For instance, in the detection of serious crime, including terrorist activity, an intelligent system which is capable of automated modelling and analysis of intelligence data is of great importance. It will provide useful decision support for intelligence analysts, offering an effective means in the assessment of scena...

We may not be able to make you love reading, but understanding decision support systems and expert systems will lead you to love reading starting from now. Book is the window to open the new world. The world that you want is in the better stage and level. World will always guide you to even the prestige stage of the life. You know, this is some of how reading will give you the kindness. In this...

This chapter aims to delineate measurement of level-of-satisfaction during decision making under intelligent fuzzy environment. Before proceeding with the multi-criteria decisionmaking model (MCDM), we attempt to build a co-relation among decision support systems (DSS), decision theories and fuzziness of information. The so-relation shows the necessity of incorporating decision makers’ (DM) lev...

Carbon emission trade is one of the most common carbon emission regulation policies, manufactures must take measures to cope with this new situation. This paper dedicated to design a decision support system (DSS) based on our proposed model. We examined the manufacture’s joint emission reduction effort and pricing decisions with carbon emission trade. We formulate this problem as a stackelberg ...