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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 11
ARTIFICIAL INTELLIGENCE TOOLS AND TECHNIQUES FOR CIVIL AND STRUCTURAL ENGINEERS
Edited by: B.H.V. Topping
Paper IV.4

A Fuzzy Expert System for Priority Ranking in Network Resource Allocation

T.C. Chang and C.W. Ibbs

Department of Civil Engineering, University of California, Berkeley, USA

Full Bibliographic Reference for this paper
T.C. Chang, C.W. Ibbs, "A Fuzzy Expert System for Priority Ranking in Network Resource Allocation", in B.H.V. Topping, (Editor), "Artificial Intelligence Tools and Techniques for Civil and Structural Engineers", Civil-Comp Press, Edinburgh, UK, pp 101-107, 1989. doi:10.4203/ccp.11.4.4
Abstract
Resource allocation is a critical issue in construction project scheduling. CPM/PERT schedules without resource allocation are totally inadequate for control of major projects. One major concern in resource allocation is the determination of a priority ranking for all activities that are candidates for resource assignment. In this paper, the development of a demonstration expert system PRIORITY RANKING, which incorporates possibility theory and generalized modus ponens logic inference rule, is described. It is designed to solve the priority decision making problem in construction resource scheduling.

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