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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 14
Edited by: B.H.V. Topping and A.I. Khan
Paper XII.3

Assessment of Project Performance by Fuzzy Reasoning Models

K. Sun

Department of Civil Engineering, National University of Singapore, Singapore

Full Bibliographic Reference for this paper
K. Sun, "Assessment of Project Performance by Fuzzy Reasoning Models", in B.H.V. Topping, A.I. Khan, (Editors), "Information Technology for Civil & Structural Engineers", Civil-Comp Press, Edinburgh, UK, pp 195-204, 1993. doi:10.4203/ccp.14.12.3
A methodology for assessment and evaluation of project performance is presented. The proposed approach is based on the techniques of the angular fuzzy set models and fuzzy approximate reasoning. In this method, the factors affecting the project performance are considered as linguistic fuzzy sets and they are subjectively evaluated based on experts' judgment with respect to certain defined production rules and the relative importance. A procedure of fuzzy approximate reasoning with fuzzy modus ponens deduction and a multi-antecedents' decision proposition are introduced to determine the consequences of the production rules. This approach can be implemented during the planning, design and construction phases of a project. It can also help project managers to modify existing project operations for a more reliable and cost effective project performance.

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