A fuzzy-based decision support system for ranking the delivery methods of mega projects

Moza Tahnoon Al Nahyan, Yaser E. Hawas, Mohsin Raza, Hamad Aljassmi, Munjed A. Maraqa, Basil Basheerudeen, Mohammad Sherif Mohammad

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

Purpose: The purpose of this paper is to present a framework to devise a system for ranking of traditional project delivery methods, regarding their suitability, against the varying levels of mega project attributes. Design/methodology/approach: The proposed system employs input and output interfaces and a granular (fuzzy rule base) component for estimating the subjective levels of risks, opportunities, and constraints and then mapping them to a decision matrix. A questionnaire has been designed (using the SurveyGizmo® platform) to collect the perceptions of the various project stakeholders and use them. A total of 127 stakeholders completed the survey form in full. Findings: The survey data were used to calibrate the fuzzy logic model of the granular component. The envisioned system computes, for each possible delivery method, an index that reflects the suitability (of the corresponding delivery method) on an ordinal scale. Originality/value: The devised decision support system is likely to lessen the dependency of “accurate decision” on “the experience of the decision-makers.” It will also enable ranking the various project delivery methods based on the various project and stakeholder attributes that are likely to affect the project risks, opportunities and constraints.

Original languageEnglish
Pages (from-to)122-143
Number of pages22
JournalInternational Journal of Managing Projects in Business
Volume11
Issue number1
DOIs
Publication statusPublished - 2018

Keywords

  • Fuzzy logic
  • Mega projects
  • Project delivery methods

ASJC Scopus subject areas

  • Business and International Management
  • Strategy and Management

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