{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:14:08Z","timestamp":1777889648217,"version":"3.51.4"},"reference-count":61,"publisher":"SAGE Publications","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["KES"],"published-print":{"date-parts":[[2024,3,14]]},"abstract":"<jats:p>EPC (Engineering, Procedure, Construction) refers to the implementation of \u201cprocurement, construction, and design\u201d for a certain project, which has a very similar meaning to general engineering contracting. The general contracting mode of EPC is that the construction enterprise, as the owner, contracts the construction project to the general contracting enterprise in a direct form. The engineering procurement construction project quality evaluation is looked as the multi-attribute decision-making (MADM). The triangular fuzzy neutrosophic sets (TFNSs) is more suitable for expressing uncertain information during the engineering procurement construction project quality evaluation. Grey relational analysis (GRA) method is a very active branch of grey system theory, whose basic idea is to determine whether the connections between different sequences are close based on the similarity of the geometric shapes of sequence curves. In this paper, the triangular fuzzy neutrosophic number GRA (TFNN-GRA) method is put up under triangular fuzzy neutrosophic sets (TFNSs) with completely unknown weight information. The information entropy is employed to obtain the weight values under TFNSs. Then, commenting GRA method with TFNSs, the TFNN-GRA is designed and the decision steps for MADM are constructed. Finally, a numerical example for engineering procurement construction project quality evaluation was given and some comparative analysis is employed to verify the advantages of TFNN-GRA method.<\/jats:p>","DOI":"10.3233\/kes-230099","type":"journal-article","created":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T12:10:25Z","timestamp":1704802225000},"page":"179-194","source":"Crossref","is-referenced-by-count":0,"title":["A stratified fuzzy decision-making approach for engineering procurement construction project quality evaluation with triangular fuzzy neutrosophic information"],"prefix":"10.1177","volume":"28","author":[{"given":"Yong","family":"Lei","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/KES-230099_ref2","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.softx.2023.101344","article-title":"Handling decision-making in Intuitionistic Fuzzy environment: PyIFDM package","volume":"22","author":"Wieckowski","year":"2023","journal-title":"Softwarex."},{"issue":"1","key":"10.3233\/KES-230099_ref5","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1007\/s40815-020-00970-2","article-title":"Frank aggregation operators and their application to probabilistic hesitant fuzzy multiple attribute decision-making","volume":"23","author":"Yahya","year":"2021","journal-title":"International Journal of Fuzzy Systems."},{"issue":"3","key":"10.3233\/KES-230099_ref6","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1007\/s40314-022-01791-9","article-title":"Multiple attribute decision-making approach for Pythagorean neutrosophic normal interval-valued fuzzy aggregation operators","volume":"41","author":"Palanikumar","year":"2022","journal-title":"Computational & Applied Mathematics."},{"issue":"9","key":"10.3233\/KES-230099_ref7","doi-asserted-by":"crossref","first-page":"4249","DOI":"10.1007\/s00500-022-06912-4","article-title":"A new approach for fuzzy classification by a multiple-attribute decision-making model","volume":"26","author":"Ranjbar","year":"2022","journal-title":"Soft Computing."},{"issue":"5","key":"10.3233\/KES-230099_ref8","doi-asserted-by":"crossref","first-page":"2465","DOI":"10.1007\/s00500-021-06549-9","article-title":"Multiple attribute decision making based on q-rung orthopair fuzzy Hamacher Muirhead mean operators","volume":"26","author":"Rawat","year":"2022","journal-title":"Soft Computing."},{"issue":"4","key":"10.3233\/KES-230099_ref11","doi-asserted-by":"crossref","first-page":"665","DOI":"10.15388\/Informatica.2012.380","article-title":"A Method Based on OWA Operator and Distance Measures for Multiple Attribute Decision Making with 2-Tuple Linguistic Information","volume":"23","author":"Zeng","year":"2012","journal-title":"Informatica."},{"issue":"2","key":"10.3233\/KES-230099_ref12","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1007\/s10726-011-9255-5","article-title":"Multiple attribute group decision-making methods with completely unknown weights in intuitionistic fuzzy setting and interval-valued intuitionistic fuzzy setting","volume":"22","author":"Ye","year":"2013","journal-title":"Group Decision and Negotiation."},{"issue":"3","key":"10.3233\/KES-230099_ref13","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1142\/S0219622017500110","article-title":"Some improved linguistic intuitionistic fuzzy aggregation operators and their applications to multiple-attribute decision making","volume":"16","author":"Liu","year":"2017","journal-title":"International Journal of Information Technology & Decision Making."},{"issue":"3","key":"10.3233\/KES-230099_ref14","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1007\/s40747-020-00150-7","article-title":"New ranking method for normal intuitionistic sets under crisp, interval environments and its applications to multiple attribute decision making process","volume":"6","author":"Garg","year":"2020","journal-title":"Complex & Intelligent Systems."},{"issue":"7","key":"10.3233\/KES-230099_ref15","doi-asserted-by":"crossref","first-page":"3021","DOI":"10.1007\/s12652-019-01448-2","article-title":"Neutrality operations-based Pythagorean fuzzy aggregation operators and its applications to multiple attribute group decision-making process","volume":"11","author":"Garg","year":"2020","journal-title":"Journal of Ambient Intelligence and Humanized Computing."},{"key":"10.3233\/KES-230099_ref16","doi-asserted-by":"crossref","unstructured":"Garg H. 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