Using Intuitionistic Fuzzy TOPSIS in Site Selection of Wind Power Plants in Turkey

Abstract

The reduction of energy resources and the increase in environmental consciousness have recently increased the interest in renewable energy sources. Wind energy is from renewable energy sources, which are used in many countries. Turkey has a lot alternative wind energy plants thanks to its favorable geographical location. Where the wind power plant is to be established is a complex and important decisive factor. It is very important to select the appropriate wind power plant site to take advantage of wind energy and reduce costs. In this study, we aimed to reach the solution of wind energy plant site selection. For this purpose 4 alternative wind power plant locations have been identified. To evaluate the alternatives, 10 criteria in four dimensions including wind potential, location, cost, and social benefits are selected. Since the Multicriterion Decision Making (MCDM) methods are often used in problem of location selection from past to present, TOPSIS method combined with intuitionistic fuzzy set (IFS) has been used to achieve this goal. The main purpose of the TOPSIS method is to rank the alternatives in the worst way. The IFS are used to reflect approval, rejection, and hesitation of decision makers by dealing with real life uncertainty, imprecision, vagueness, and linguistic human decisions. Finally, a numerical example is applied for wind power plant site selection. In order to demonstrate the effectiveness of IFS, the problem is solved by the Fuzzy TOPSIS method using the same data. Then, the obtained results are compared with the IFS method to show the effectiveness of the proposed method.

A Hybrid Hesitant 2-Tuple IVSF Decision Making Approach to Analyze PERT-Based Critical Paths of New Service Development Process for Renewable Energy Investment Projects

“…Furthermore, renewable energy alternatives are ranked with TOPSIS method. The main advantage of this methodology is using the distances both positive and negative ideal solutions [22,23]. Therefore, more accurate evaluations can be performed to understand which renewable energy alternatives have higher performance [24].…”

Electric Bus Selection with Multicriteria Decision Analysis for Green Transportation

“…The TOPSIS method has a wide range of application areas, such as green supply chain management [89], selection of electric molding machinery [90], assessing organization performances [91], site selection of wind power plants [92], public blockchain evaluation [93], strategy assessment [94], financial performance rankings [95], and solar energy project selection [96].…”

Blockchain Service Provider Selection Based on an Integrated BWM-Entropy-TOPSIS Method Under an Intuitionistic Fuzzy Environment

“…(1) Determining the DMs weights. The DMs weights can be specified by the decision maker directly according to experience and preference [46] or calculated by a decision maker matrix [47][48][49][50]; (2) Determining the weights of attributes. There are mainly two types of research on attribute weights.…”