Abstract
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.
Highlights
Nanotechnology has recently become one of the most attractive areas in science and physics
The main aim of the study is to evaluate the critical factors of application of nanotechnology in construction and provide a decision support framework to carefully calculate the relative weight of the evaluation criteria
Construction sector is faced with an enormous number of challenges pertaining to materials and their properties ranging from capital and maintenance cost to health, safety, environmental, and performance issues
Summary
Nanotechnology has recently become one of the most attractive areas in science and physics. It is important to evaluate the critical parameters influencing the application of nanotechnology in construction. This analysis can help decision maker to understand which components require more focus. Analytical network process (ANP), a particular branch of the MCDM methods, is a powerful technique in facing with all kinds of relationship, dependency and feedback in the model and draws a systematical figure of the decision making problem (Azimi et al 2011). The main aim of the study is to evaluate the critical factors of application of nanotechnology in construction and provide a decision support framework to carefully calculate the relative weight of the evaluation criteria.
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