الفهرس 
Chapter 1 introductionOnly 14 pages are availabe for public view
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Abstract
Scheduling is a particularly important function in the field of project management. Usually, project managers are requested to deal with the trade-off between time, and cost under uncertainty. To deal with that problem, most analytic methods failed to solve the practical Time-Cost Trade-Off (TCTO) problem, which is modeled as a Fuzzy Linear Programming Problem (FLPP) with non-symmetric fuzzy numbers. Also, one of the problems facing project managers is to determine appropriate values to express the quality of projects and the various activities. Thus, project managers are requested to deal with the trade-off between time, cost, and quality under uncertainty. To deal with that problem, Fuzzy Multi-Objective Linear Programming Problem (FMOLPP) techniques are needed. In (1965), L. Zadah introduced the fuzzy set theory, and since then many researchers have used FMOLPP techniques to deal with TCQTO. The main objective of this research is to develop a model to optimize construction project goals, time, cost, and quality, under uncertainty. To reach this objective, a new model is introduced to solve TCTO problem using fuzzy linear programming technique with non-symmetric fuzzy numbers, then a new model named as Construction Project Quality Index (CPQI) is developed to measure construction projects’ quality index. Finally, an integrated model is introduced to solve TCQTO based on fuzzy multi-objective linear programming technique. The developed model is implemented on commercial software using Dart programming language. The proposed Fuzzy TCQTO technique is useful to perform the project by the intended deadline, while also meeting the desired quality level within an expected budget under a fuzzy environment.