A new GDM based AHP framework with linguistic interval fuzzy preference relations for renewable energy planning

Abstract

Renewable energy resources (RER) are one of the most growing energy sources in the world and various researches point out that these resources will have vital importance in the future. On the other hand, limited reserves and negative environmental impacts of fossil fuels make investors to consider RER for their needs in a sustainable way. To select most appropriate RER alternatives, it is essential to prioritize alternatives which provide minimum negative environmental impact caused by RER operations and maximum financial benefits to the investor. This study aims to develop a novel RER evaluation model that can help investors with their critical selection process and identify the priority of RER alternatives. High complexity of socioeconomic environments often makes it difficult for a single decision maker (DM), investor in our case, to consider all important aspects of selection problems. Therefore, group decision making (GDM) is often preferred to avoid the bias and minimize the partiality in this kind of decision process. In some critical situations DMs' judgments can be under uncertainty where it is difficult for them to provide exact numerical values. In these cases, linguistic interval fuzzy preference relations are utilized to better represent DMs' preferences. This paper develops a new GDM approach based on fuzzy analytic hierarchy process (AHP) with linguistic interval fuzzy preference relations for obtaining weights of selected evaluation criteria. Then, the fuzzy technique for order performance by similarity to ideal solution (TOPSIS) approach is applied for ranking suitable RER alternatives. The originality of the paper comes from the application of these combined methodologies in literature for the first time and no previous work has investigated this RER subject using this kind of an integrated method. For demonstrating the potential of the proposed approach, a motivated example is given to select the most suitable RER for Turkey.

A new procedure for hesitant multiplicative preference relations

“…However, the β-normalization based methods 35,36 and the stochastic method 37 derive the same ranking results. Two α-normalization based methods 25,35 obtain the different ranking orders.…”

“…Because of the increasing complexity of decision‐making problems, several extended forms are proposed, such as interval fuzzy preference relations, triangular fuzzy preference relations, intuitionistic fuzzy preference relations, interval‐valued intuitionistic fuzzy reference relations, and uncertain linguistic fuzzy preference relations . With the development of the theory of preference relations, their applications have been continuously extended, such as the supplier selection, the fire system of a tank unit, the selecting location of enterprise, the new product development (NDP) project screening, the access of the agroecological region, the selection of manufacturing system, and the selection of renewable energy resources and so on.…”

Enerji Üretim Yatırım Alternatiflerinin Değerlendirilmesinde Çok Kriterli Karar Verme Yöntemlerinin İstatistiksel ve Analitik Olarak Karşılaştırması: Türkiye Örneği

“…Çizelge 1. 'de sunulan çalışmalarda enerji kaynak alternatifleri sıralanırken sürdürülebilirlik [12,22], ilk yatırım maliyeti [13,16,20], seviyelendirilmiş birim üretim maliyeti [12], işletme ve bakım maliyeti [17,19,21], verimlilik [14,16,25], sera gazı ve partikül salınımı [15,18,23] ve arazi kullanımı [17,19,24] gibi birçok temel kriter dikkate alınmıştır. Bu kriterler genellikle, teknik, ekonomik ve çevresel başlıklar altında değerlendirilebilecek kriterler olmakla birlikte, enerji kaynak alternatiflerinin karşılaştırılması için sosyal, toplumsal ve politik etkileri olan kriterler de literatürdeki çalışmalarda dikkate alınmıştır.…”

“…Ülkelerin temel görevlerinden bir tanesinin de halkın refah düzeyini artırmak olduğu ve sürdürülebilir enerji politikalarının da bu ana amacın bir parçası olduğu düşünüldüğünde bu kriterin önemi ortaya çıkmaktadır. Literatürdeki çalışmalarda da bu gereklilik fark edilmiş ve bazı çalışmalarda [22][23][24] problemin kapsamına sosyal kabul faktörü dahil edilmiştir. Yine Çizelge 1.…”

Software process selection system based on multicriteria decision making

“…To address this concern, the fuzzy analytic hierarchy process (FAHP) has been recommended as a useful move toward having the benefits of classic AHP at the same time as considering the ambiguous and uncertain environment of DM 31‐35 . From civil engineering to healthcare and from the aviation industry to the mining industry, the fuzzy AHP technique is widely utilized in several domains for efficient DM 36‐45 . The software engineering domain also does not remain untouched from the use of the FAHP for effective DM in various software engineering 12,46‐53 …”