CRITICAL FACTORS OF THE APPLICATION OF NANOTECHNOLOGY IN CONSTRUCTION INDUSTRY BY USING ANP TECHNIQUE UNDER FUZZY INTUITIONISTIC ENVIRONMENT
Autor: | Abdolreza Yazdani-Chamzini, Shahram Shariati, Jolanta Tamošaitienė, Jonas Šaparauskas, Alieh Saedi, Stanislav Stupak, Masoumeh Abedi |
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Rok vydání: | 2017 |
Předmět: |
Structure (mathematical logic)
Building construction Engineering construction industry nanotechnology business.industry Process (engineering) Strategy and Management Rank (computer programming) 0211 other engineering and technologies Nanotechnology 02 engineering and technology Multiple-criteria decision analysis Fuzzy logic Construction industry Analytical network process (ANP) Order (exchange) 021105 building & construction 0202 electrical engineering electronic engineering information engineering Independence (mathematical logic) 020201 artificial intelligence & image processing business TH1-9745 Intuitionistic fuzzy set (IFS) Civil and Structural Engineering |
Zdroj: | Journal of Civil Engineering and Management; Vol 23 No 7 (2017); 914-925 Journal of Civil Engineering and Management, Vol 23, Iss 7 (2017) |
ISSN: | 1822-3605 1392-3730 |
DOI: | 10.3846/13923730.2017.1343202 |
Popis: | Nanotechnology plays a significant role in construction industry. The construction industry has been employed nanomaterials to improve the performance of construction components and the safety of the structure and to reduce the energy consuming and the cost of maintenance. In other words, nanotechnology has a substantial impact on the construction industry. Therefore, it is necessary to identify and evaluate the critical factors of the application of nanotechnology in construction in order to concentrate on the most critical factors. However, several techniques have been developed to prioritize the evaluation criteria. Analytical network process (ANP) technique, a branch of multi criteria decision making (MCDM) methods, is a powerful tool to rank a limited number of criteria. This technique takes into account both tangible and intangible criteria in the process of formulation of a decision making problem. This method is capable of handling all types of independence and dependence relationships. On the other hand, intuitionistic fuzzy set (IFS) is a well-known technique in considering the inherent uncertainty involved in the process of modelling a decision making problem. In this paper, a new model based on the IFS and ANP technique is proposed to evaluate the critical factors of the application of nanotechnology in the construction industry. The results demonstrate that the proposed model has a high potential for taking into account the uncertainty in the form of a three dimension function, including membership, non-membership, and non-determinacy. |
Databáze: | OpenAIRE |
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