William Hakes- GSU Faculty Paper
1) “A Method for Generation of Alternatives for Decision Support Systems”; Bijan Fazlollahi and Rustam Vahidov. Journal of Management Information Systems , Vol. 18, No. 2, pp 229-250.
2) Bijan Fazlollahi, Dpeartyment of Computer Information Systems- Georgia State University; Rustam Vahidov, Department of Decision Sciences and MIS- Concordia university, Montreal.
3) Can a DSS be designed, through the use of genetic algorithms and fuzzy sets, that more effectively generates alternatives in the problem solving/decision making process?
4) Basic Theoretical: This article develops a theoretical framework for a better design of Decision Support Systems.
5) For well-structured problems, traditional DSS have been quite effective. Optimization models may be employed, for example, to find the “best” solution given a set of constraints. However, for ill-structured problems, DSS have been much less useful, as they fail to achieve a often unstated but desired initial goal of generating multiple alternatives. However, DSS have not historically been assigned with such a task. Instead, human judgment has been the default method in decision-making under uncertainty. This paper successfully develops a genetic algorithm based remedy to this historical weakness of DSS. Through GA’s and fuzzy sets, this method appears to successfully aid in generating multiple alternative generation for user evaluation.
6) The article will appeal to practitioners as well as academics interested in the study of optimization, problem solving and decision-making, and decision support systems- all across multiple disciplines.
7) As this article proposes an innovative method to resolve a current problem in decision sciences, I see this method of paper as one that I will replicate.