A fuzzy inference system for net present value analysis of construction projects

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Sales forecasting has a great impact on facilitating effective and efficient management of resources for construction projects. Since, having appropriate sales prediction provides appropriate financial activities, especially for large scaled construction projects. This study proposes a numerical model for construction projects which integrates Fuzzy Rule Based System (FRBS) with Net Present Value (NPV) analysis. In the proposed hybrid model, FRBS is used for sales forecasting and provides input for NPV formulation. The proposed model is applied to a construction project in Istanbul so as to demonstrate its performance and practicality for real life problems.

Original languageEnglish
Title of host publicationWorld Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages83-87
Number of pages5
ISBN (Print)9789814417730
DOIs
Publication statusPublished - 2012
Event10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012 - Istanbul, Turkey
Duration: 26 Aug 201229 Aug 2012

Publication series

NameWorld Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
Volume7

Conference

Conference10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
Country/TerritoryTurkey
CityIstanbul
Period26/08/1229/08/12

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