A DECISION SUPPORT MODEL FOR CIVIL ENGINEERING PROJECTS BASED ON MULTI-CRITERIA AND VARIOUS DATA

Usama Hamed Issa · Yehia H. Miky · Fam F. Abdel-malak

35 citations0/0 files storedJournal of Civil Engineering and Management

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Multi-Criteria Decision Making Decision Support System Applications Optimization and Mathematical Programming

Abstract

This paper develops a model, introduced in software, namely Multi-Criteria Decision-Making Model (MCDMM). The model helps decision makers selecting the most suitable alternative based on the customer requirements and preferences. Analytic Hierarchy Process (AHP) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) form a package that covers most available data types in construction projects. In MCDMM, AHP produces criteria relative weights according to their influence on the discussed problem, while Fuzzy TOPSIS is applied to rank the available alternatives. The model consists of two modules, first one uses AHP only to deal with precise, qualitative alongside quantitative data, while the other module combines AHP with Fuzzy TOPSIS due to the importance of linguistic variables to cover undocumented data. MCDMM is verified using two real case studies. The model is applied to a real case project for constructing solar power plants at Saudi Arabia. A decision required to select the most suitable surveying technique for producing Digital Terrain Model (DTM) among four alternatives (Total Station, Remote Sensing, Photogrammetry, and Global Positioning Systems). This issue is studied and key points are identified for prioritizing among them. Total Station is selected based on the model results.

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References

2001Application of the AHP in project management 2019Analytic Hierarchy Process 20112004, “From System Dynamics and Discrete Event to Practical Agent Based Modeling: Reasons, Techniques, Tools 2001Decision by Objectives 2007Generalizing TOPSIS for fuzzy multiple-criteria group decision-making 2004Using analytic hierarchy process (AHP) to improve human performance: An application of multiple criteria decision making problem 2016A framework for water loss management in developing countries under fuzzy environment: Integration of Fuzzy AHP with Fuzzy TOPSIS 2011A hybrid approach integrating Affinity Diagram, AHP and fuzzy TOPSIS for sustainable city logistics planning

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