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Title An IVTIFN-TOPSIS Based Computational Approach for Pipe Materials Selection
ID_Doc 12770
Authors Zhao, R; Huang, Y; Yu, Y; Guo, SD
Title An IVTIFN-TOPSIS Based Computational Approach for Pipe Materials Selection
Year 2019
Published Applied Sciences-Basel, 9.0, 24
DOI 10.3390/app9245457
Abstract This paper proposes a multicriteria decision-making (MCDM) approach, coupling intervalued trapezoidal intuitionistic fuzzy number (IVTIFN) with the technique for order preference by similarity to ideal solution (TOPSIS) to facilitate the selection of pipe materials. Their integration can maximize the advantage in better expressing decision maker's preference on the proposed evaluation criteria by using a bounded limit instead of an exact value, to rank material alternatives based upon their functional, economic and environmental attributes. To reduce possible information overlapping resulted from the criteria, Mahalanobis distance is incorporated into IVTIFN-TOPSIS to improve the selection results. An illustrative example is provided to verify the proposed approach and demonstrate its practical application, in which four common alternative materials, including carbon steel, galvanized steel, polyvinyl chloride (PVC) and high-density polyethylenes (HDPE), are subject to precise selection to determine their adaptability in waste-water piping. The selection result indicates that the plastic materials are superior to the metal materials. In particular, HDPE is the optimal material alternative for waste-water collection and transport.
Author Keywords materials selection; pipe material; multicriteria decision making; IVTIFN; TOPSIS; Mahalanobis distance
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000518042000192
WoS Category Chemistry, Multidisciplinary; Engineering, Multidisciplinary; Materials Science, Multidisciplinary; Physics, Applied
Research Area Chemistry; Engineering; Materials Science; Physics
PDF https://www.mdpi.com/2076-3417/9/24/5457/pdf?version=1576151230
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