![]() ![]() A maximizing decision is defined as a point in the space of alternatives at which the membership function of a fuzzy decision attains its maximum value. A fuzzy decision, then, may be viewed as an intersection of the given goals and constraints. Also, a sensitivity analysis is made to examine the effect of weighting environmental criteria on total purchasing cost and quantity of order from each supplier. Fuzzy goals and fuzzy constraints can be defined precisely as fuzzy sets in the space of alternatives. A numerical example is used in this paper to show the applicability of the proposed integrated model. These parameters, together with cost parameters, are utilized to propose a multi-objective mathematical model for determination of order quantity from each supplier. According to this evaluation two parameters are defined for each supplier: positive score and negative score. We use the EDAS (Evaluation based on Distance from Average Solution) method and interval type-2 fuzzy sets for evaluation of suppliers with respect to environmental criteria. In this paper, a new integrated model is proposed for supplier evaluation and order allocation which considers both environmental and economic factors. Besides, the economic performance has been a significant factor for companies to choose their suppliers. This approach will have potential applications in the future.Nowadays environmental performance of suppliers becomes more important because of competitive conditions. The results showed that these novel methodologies are able to assess the overall risks of construction projects, select the project that has the lowest risk with the contribution of relative importance index. Thirty construction projects were studied with respect to five main criteria that are the time, cost, quality, safety and environment sustainability. It attempted to incorporate vital qualitative attributes in performance analysis of construction projects and transformed the qualitative data into equivalent quantitative measures. The fuzzy TOPSIS method is very suitable for solving group decision making problems under the fuzzy environment. Drawing on their experience, the authors bring together current methods and real-life applications of MADM techniques for decision analysis. Fuzzy AHP (FAHP) was used to create favorable weights for fuzzy linguistic variable of construction projects overall risk. A compilation of modern decision-making techniques, Multiple Attribute Decision Making: Methods and Applications focuses on the fuzzy set approach to multiple attribute decision making (MADM). The construction projects were then categorized by fuzzy AHP and fuzzy TOPSIS methodologies. The relative importance index (RII) method was applied to prioritize the project risks based on the data obtained. The proposed hybrid methodologies were initiated with a survey for data collection. The study covers identifying the key risk criteria of construction projects at King Abdulaziz University (KAU), and assessing the criteria by the integrated hybrid methodologies. It was also aimed to place the risk in a proper category and predict the level of it in advance to develop strategies and counteract the high-risk factors. The purpose of this study is to use novel analytic tools to evaluate the construction projects and their overall risks under incomplete and uncertain situations. Construction projects are initiated in dynamic environment which result in circumstances of high uncertainty and risks due to accumulation of many interrelated parameters. ![]()
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