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SUPPLIER SELECTION FOR HOUSING DEVELOPMENT BY AN INTEGRATED METHOD WITH INTERVAL ROUGH BOUNDARIES
Author(s) -
Zhiying Zhang,
Huchang Liao,
Abdullah Al-Barakati,
Edmundas Kazimieras Zavadskas,
Jurgita Antuchevičienė
Publication year - 2020
Publication title -
international journal of strategic property management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.43
H-Index - 30
eISSN - 1648-9179
pISSN - 1648-715X
DOI - 10.3846/ijspm.2020.12434
Subject(s) - computer science , robustness (evolution) , interval (graph theory) , fuzzy logic , selection (genetic algorithm) , compromise , operations research , data mining , artificial intelligence , mathematics , social science , biochemistry , chemistry , combinatorics , sociology , gene
Residential whole-decoration is an important initiative for housing industrialization in China. Selecting the most suitable component supplier for housing development is of great significance for both property developers and buyers in the implementation of such a strategy. To address such a problem, this study uses hesitant fuzzy linguistic term sets to express the inaccurate judgments of individuals and then introduces a novel probability aggregation approach based on interval rough boundaries to enable a realistic presentation of the collective evaluations of a group. Then, we propose a hybrid multi-expert multiple criteria decision-making model by integrating the Best Worst Method (BWM) and Combined Compromise Solution (CoCoSo) method based on the interval rough boundaries. A case study about the supplier selection for housing development is carried out, which demonstrates the feasibility and applicability of our proposed hybrid model. A comparison study is also performed to further validate the robustness of the model.

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