The fuzzy TOPSIS and generalized Choquet fuzzy integral algorithm for nuclear power plant site selection – a case study from Turkey

Abstract

The location selection for nuclear power plant (NPP) is a strategic decision, which has significant impact on the economic operation of the plant and sustainable development of the region. This paper proposes fuzzy TOPSIS and generalized Choquet fuzzy integral algorithm for evaluation and selection of optimal locations for NPP in Turkey. Many sub-criteria such as geological, social, touristic, transportation abilities, cooling water capacity and nearest to consumptions markets are taken into account. Among the evaluated locations, according to generalized Choquet fuzzy integral method, Inceburun-Sinop was selected as a study site due to its highest performance and meeting most of the investigated criteria. The Inceburun-Sinop is selected by generalized Choquet fuzzy integral and fuzzy TOPSIS Igneada-Kırklareli took place in the first turn. The Mersin-Akkuyu is not selected in both methods.

Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method

“…(1) Topography (C61) [34,50,53,70,71,76,77,84]. This has great effect on the safety and stability of the construction.…”

“…(2) Service capability (C32) [71,73,76,81]: It is defined as the daily service volume as well as the maximum number of EV that could get access to the charging service provided by the charging station. (3) Service radius (C33) [34,50,71,76,80]: On the one hand, it is inappropriate to keep away from the adjacent charging stations for the sake of running capacity of the EV and daily needs of the users. On the other hand, the short distance from the adjacent charging stations is also inapposite for giving rise to the waste of resources.…”

“…Rank correlation analysis method [49,50] FAHP [28,30,32] Fuzzy theory [17,34,36,51] 2-order additive fuzzy measure [52] 1 The method takes the relativity of the indicators into consideration. 2 The computational complexity is quite high, which makes it difficult to employ in practical applications.…”

“…(1) Convenience of transportation (C31) [34,50,54,[71][72][73][76][77][78][80][81][82][83]: The parameter which contains the condition of main road, the number of lanes and the number of intersections near the charging station, is critical to the realization of high profit and convenience. (2) Service capability (C32) [71,73,76,81]: It is defined as the daily service volume as well as the maximum number of EV that could get access to the charging service provided by the charging station.…”

“…Owing to the complexity of research objects and the limitations of human understanding, it is easier for decision makers to assess the alternatives by using language descriptions instead of accurate numerical results. Many methods focus on the transformation between the target information and lingual variables in the site selection problem, such as the triangular fuzzy number [25,[28][29][30][31], trapezoidal fuzzy number [32][33][34], 2-tuple linguistic representation model [35,36], intuitionistic fuzzy sets [37], interval valued fuzzy sets [38,39], axiomatic fuzzy set [40] as well as rough sets [41]. Although these methods describe the uncertainty of evaluation indicators in different ways and to different degrees, they focus on the fuzziness rather than on randomness, which is an important component of uncertainty.…”