<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Sharif University of Technology</PublisherName>
				<JournalTitle>Scientia Iranica</JournalTitle>
				<Issn>1026-3098</Issn>
				<Volume>32</Volume>
				<Issue>16</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>09</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A novel hierarchical dynamic group decision-based fuzzy ranking approach to evaluate green road construction suppliers</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">24254</ELocationID>
			
<ELocationID EIdType="doi">10.24200/sci.2022.58112.5571</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Arash</FirstName>
					<LastName>Behzadipour</LastName>
<Affiliation>Department of Civil Engineering, Islamic Azad University, Karaj Branch, Karaj, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Hossein</FirstName>
					<LastName>Gitinavard</LastName>
<Affiliation>Faculty of Mechanical and Energy Engineering, Shahid Beheshti University, Tehran, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mohsen</FirstName>
					<LastName>Akbarpour Shirazi</LastName>
<Affiliation>Faculty of Mechanical and Energy Engineering, Shahid Beheshti University, Tehran, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2021</Year>
					<Month>04</Month>
					<Day>16</Day>
				</PubDate>
			</History>
		<Abstract>In recent years, sustainable development and environmental protection have been receiving more attention in construction projects. Hence, the Green Road Construction (GRC) supplier selection problem is key for organizations to improve their environmental and economical performances. Accordingly, a new Hierarchical Group Decision (HGD) fuzzy ranking framework is presented based on Dynamic Interval-Valued Hesitant Fuzzy Numbers (DIVHFN) and the last aggregation approach to select the most appropriate GRC supplier. Thereby, DIVHFN theory and the last aggregation concept could decrease judgmental errors and data loss, respectively. Moreover, the weight of each criterion is obtained by proposing a new Dynamic Interval-Valued Hesitant Fuzzy Maximize Deviation From Ideal Decision (DIVHF-MDFID) method. Furthermore, the experts&#039; weights are determined by presenting a Dynamic Interval-Valued Hesitant Fuzzy Preference Assessment (DIVHF-PA) method. Besides, to obtain precise weights, the opinions of experts are included in criteria/sub-criteria weight computations. Meanwhile, an actual case regarding the GRC supplier evaluation and selection problem for a construction project is provided to demonstrate the implementation process of the proposed approach. Finally, some comparative and sensitivity analyses are performed to confirm the validation and verification of the presented (DIVHF-HGD) approach.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Construction Projects</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Green Road Construction (GRC) supplier selection</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Dynamic fuzzy sets</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Group decision analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Environmental competencies</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://scientiairanica.sharif.edu/article_24254_66799b2bd0493647b88e462e59d53428.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
