Akbari, S; Khanzadi, M and Gholamian, M R (2018) Building a rough sets-based prediction model for classifying large-scale construction projects based on sustainable success index. Engineering, Construction and Architectural Management, 25(4), pp. 534-558. ISSN 0969-9988
Abstract
Purpose: To address requirements and specifications of construction project, academics need to build a project classification model. In recent years, project success concept, particularly on large-scale construction projects, has been a controversial issue, especially in developing countries. Hence, in this paper, after introducing a sustainable success index (SSI), a novel method called “rough set approach” had been adopted to induce decision rules and to classify construction projects. The paper aims to discuss these issues. Design/methodology/approach: At first, 20 effective success factors and 15 success criteria based on three pillars of sustainability of economy, society and environment had been categorized. The research data used for analysis had been collected from 26 large-scale construction projects in Iran and five other countries. After collecting data collection, observations had been analyzed and 51 decision rules were generated, and the projects were classified. Eventually, in order to evaluate the performance of the generated rules, confusion matrix was applied, and the model was validated. Findings: The results of the present study show that rough set theory (RST) can be an effective and valuable tool for building expert systems. Practical applications of these results along with limitations and future research are described. Originality/value: Perhaps for the first time, in the present study, a number of large-scale construction projects are classified based on SSI. Applying RST for building rule-based system and classifying projects in construction project area are novel attempts undertaken in this paper. The rules induced in this study can be applied to develop a sustainable success prediction model in the future studies.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | classification; construction management; critical success factors; decision support systems; economic sustainability; prediction |
| Index terms: | critical success factor, methodology, construction project, expert system, success factor, prediction model, success criteria, developing country, society, specification, decision support, future study, economic sustainability, rough set, project success |
| Subjects: | communities and social development, data management, assessment methods, decision analysis, production management, contractual condition, development economics, project management theory and practice, research methods, data science, prediction and forecasting, economic analysis, health monitoring assessment and metrics, control systems, research design and methodology |
| Topics: | Health and Safety, Business Strategy, Research Practice, Project Management, Risk Management, Stakeholder Management, Digital Applications, International Construction, Contract Administration |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here