A fuzzy set approach to resource procurement for multi-phase projects subject to flexible budgetary constraints

Article type: Research Article

Authors: de Korvin, A. | Kleyle, R.

Affiliations: Computer & Mathematical Sciences Department, University of Houston–Downtown, One Main Street, Houston, TX 77002, USA. E-mail: [email protected] | Department of Mathematical Sciences, Indiana University–Purdue University at Indianapolis, 402 N. Blackford Street, Indianapolis, IN 46202, USA. E-mail: [email protected]

Abstract: In this paper we devise an algorithm for the selection of personnel for a multiple phase project which takes into account the match between the skills possessed by the personnel, the skills needed for each phase, and rather flexible budget considerations. This algorithm uses several fuzzy constructs: compatibility, degree of equality, and the necessity of a set given a fuzzy set of available capital.

Journal: Journal of Intelligent and Fuzzy Systems, vol. 9, no. 3-4, pp. 225-233, 2000