{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T15:09:59Z","timestamp":1767625799570,"version":"build-2065373602"},"reference-count":57,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T00:00:00Z","timestamp":1629763200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","award":["NSERC IRCPJ 428226\u201315"],"award-info":[{"award-number":["NSERC IRCPJ 428226\u201315"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>Construction labor productivity (CLP) is affected by various interconnected factors, such as crew motivation and working conditions. Improved CLP can benefit a construction project in many ways, such as a shortened project life cycle and lowering project cost. However, budget, time, and resource restrictions force companies to select and implement only a limited number of CLP improvement strategies. Therefore, a research gap exists regarding methods for supporting the selection of CLP improvement strategies for a given project by quantifying the impact of strategies on CLP with respect to interrelationships among CLP factors. This paper proposes a decision support model that integrates fuzzy multi-criteria decision making with fuzzy cognitive maps to prioritize CLP improvement strategies based on their impact on CLP, causal relationships among CLP factors, and project characteristics. The proposed model was applied to determine CLP improvement strategies for concrete-pouring activities in building projects as an illustrative example. This study contributes to the body of knowledge by providing a systematic approach for selecting appropriate CLP improvement strategies based on interrelationships among the factors affecting CLP and the impact of such strategies on CLP. The results are expected to support construction practitioners with identifying effective improvement strategies to enhance CLP in their projects.<\/jats:p>","DOI":"10.3390\/a14090254","type":"journal-article","created":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T22:12:22Z","timestamp":1629843142000},"page":"254","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Prioritizing Construction Labor Productivity Improvement Strategies Using Fuzzy Multi-Criteria Decision Making and Fuzzy Cognitive Maps"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8145-1679","authenticated-orcid":false,"given":"Matin","family":"Kazerooni","sequence":"first","affiliation":[{"name":"Department of Civil and Environmental Engineering, Hole School of Construction Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada"}]},{"given":"Phuong","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, Hole School of Construction Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3744-273X","authenticated-orcid":false,"given":"Aminah Robinson","family":"Fayek","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, Hole School of Construction Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"04015032","DOI":"10.1061\/(ASCE)CO.1943-7862.0001006","article-title":"Applying artificial neural networks for measuring and predicting construction-labor productivity","volume":"141","author":"Heravi","year":"2015","journal-title":"J. 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