Open AccessENERGY-SAVING BUILDING PROGRAM EVALUATION WITH AN INTEGRATED METHOD UNDER LINGUISTIC ENVIRONMENT
Author(s) -
Min Huang,
Xinli Zhang,
Ruxue Ren,
Huchang Liao,
Edmundas Kazimieras Zavadskas,
Jurgita Antuchevičienė
Publication year - 2020
Publication title -
journal of civil engineering and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.529
H-Index - 47
eISSN - 1822-3605
pISSN - 1392-3730
DOI - 10.3846/jcem.2020.12647
Subject(s) - multiple criteria decision analysis , selection (genetic algorithm) , ranking (information retrieval) , computer science , fuzzy logic , context (archaeology) , reliability (semiconductor) , energy conservation , energy (signal processing) , operations research , management science , engineering , mathematics , artificial intelligence , power (physics) , paleontology , statistics , physics , electrical engineering , quantum mechanics , biology
In the context of sustainable development, building energy conservation has become the development trend of the construction industry. The selection of energy-saving building program, as a multi-criteria decision-making (MCDM) problem, has a direct influence on the actual energy-saving effect. In this paper, an integrated MCDM method combining the extended best worst method (BWM) and Weighted Aggregated Sum Product Assessment (WASPAS) method is proposed to solve the energy-saving building program selection problem under the linguistic Pythagorean fuzzy environment. The Linguistic Pythagorean fuzzy sets (LPFSs) are used to model the uncertain evaluation information of experts. The extended BWM is developed to determine the weights of criteria, while the extended WASPAS method is proposed to determine the ranking of alternatives. To validate the applicability and reliability of the proposed method, this paper presents a numerical example of the selection problem for energy-saving building programs. Some managerial insights are also given for practitioners to use the proposed method.