Article2001

Addressing the contractor selection problem using an evidential reasoning approach

Mahmut Sönmez · Jianbo Yang · Gary David Holt

91 citations0/0 files storedEngineering Construction & Architectural Management

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Multi-Criteria Decision Making Construction Project Management and Performance Value Engineering and Management

Abstract

Selecting the ‘best’ main contractor is a complex decision process for construction clients. It requires a large number of criteria to be simultaneously measured and evaluated. Many of these criteria are related to one another in a complex way and therefore, they very often conflict insofar as improvement in one often results in decline of another(s). Furthermore, as contractors' attributes are expressed in both quantitative and qualitative terms, decision‐makers have to base their judgements on both quantitative data and experiential subjective assessments. In this paper, the evidential reasoning (ER) approach (which is capable of processing both quantitative and qualitative measures) is applied as a means of solving the contractor selection problem (CSP). The process of building a multiple criteria decision model of a hierarchical structure is presented, in which both quantitative and qualitative information is represented in a unified manner. The CSP is then fully investigated using the ER approach. Both the advantages of applying this model in practice and the analysis process itself are discussed.

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References

1965Fuzzy sets 1996Fuzzy sets 1981Multiple Attribute Decision Making 1993Decisions with Multiple Objectives 1979Multiple Objective Decision Making ― Methods and Applications: A State-of-the-Art Survey 1980Marketing Applications of the Analytic Hierarchy Process 1983On a short-coming of Saaty's method of analytic hierarchies 1994An evidential reasoning approach for multiple-attribute decision making with uncertainty

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2006Evidential reasoning based preference programming for multiple attribute decision analysis under uncertainty 2009Evidential Reasoning Approach for Multiattribute Decision Analysis Under Both Fuzzy and Interval Uncertainty 2003Intelligent decision system for self‐assessment 2012Identifying and ranking critical success factors of customer experience in banks 2010Contractor selection innovation: examination of two decades' published research 2008Ship selection using a multiple-criteria synthesis approach

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