Benefits of Decision Support using Soft Computing
نویسنده
چکیده
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 then show two recently fielded applications. The applications are a classification tool for determining the risk of financial transactions and a parts advisor for servicing medical equipment.
منابع مشابه
Soft Computing Based on a Modified MCDM Approach under Intuitionistic Fuzzy Sets
The current study set to extend a new VIKOR method as a compromise ranking approach to solve multiple criteria decision-making (MCDM) problems through intuitionistic fuzzy analysis. Using compromise method in MCDM problems contributes to the selection of an alternative as close as possible to the positive ideal solution and far away from the negative ideal solution, concurrently. Using Atanasso...
متن کاملCOMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS FOR SOFT COMPUTING
This paper will introduce a new method to obtain the order weightsof the Ordered Weighted Averaging (OWA) operator. We will first show therelation between fuzzy quantifiers and neat OWA operators and then offer anew combination of them. Fuzzy quantifiers are applied for soft computingin modeling the optimism degree of the decision maker. In using neat operators,the ordering of the inputs is not...
متن کاملA Fuzzy Rule-based Expert System for the Prognosis of the Risk of Development of the Breast Cancer
Soft Computing techniques play an important role for decision in applications with imprecise and uncertain knowledge. The application of soft computing disciplines is rapidly emerging for the diagnosis and prognosis in medical applications. Between various soft computing techniques, fuzzy expert system takes advantage of fuzzy set theory to provide computing with uncertain words. In a fuzzy exp...
متن کاملSoft Computing-based New Interval-valued Pythagorean Triangular Fuzzy Multi-criteria Group Assessment Method without Aggregation: Application to a Transport Projects Appraisal
In this paper, an interval-valued Pythagorean triangular fuzzy number (IVPTFN) as a useful tool to handle decision-making problems with vague quantities is defined. Then, their operational laws are developed. By introducing a novel method of making a decision on the concept of possibility theory, a multi-attribute group decision-making (MAGDM) problem is considered, in which the attribute value...
متن کاملPrediction of the pharmaceutical solubility in water and organic solvents via different soft computing models
Solubility data of solid in aqueous and different organic solvents are very important physicochemical properties considered in the design of the industrial processes and the theoretical studies. In this study, experimental solubility data of 666 pharmaceutical compounds in water and 712 pharmaceutical compounds in organic solvents were collected from different sources. Three different artificia...
متن کامل