Your search for: 'author:("Karaşan, Ali")' has returned 2 results. (0.014s) Save search

Authors: Karaşan, Ali | Kahraman, Cengiz

Article Type: Research Article

Abstract: Today energy demand in the world cannot be met based on the growing population of the countries. Exhaustible resources are not enough to supply this energy requirement. Furthermore, the pollution created by these sources is one of the most important issues for all living things. In this context, clean and sustainable energy alternatives need to be considered. In this study, a novel interval-valued neutrosophic (IVN) ELECTRE I method is conducted to select renewable energy alternative for a municipality. A new division operation and deneutrosophication method for interval-valued neutrosophic sets is proposed. A sensitivity analysis is also implemented to check the validity of the …proposed method. The obtained results and the sensitivity analysis demonstrate that the given decision in the application is robust. The results of the proposed method determine that the wind power plant is the best alternative and our proposed method’s decisions are consistent and reliable through the results of comparative and sensitivity analyses. Show more

Keywords: interval-valued neutrosophic sets, ELECTRE I, multi-criteria decision making, renewable energy

DOI: 10.15388/20-INFOR388

Citation: Informatica, vol. 31, no. 2, pp. 225-248, 2020

Authors: Çolak, Murat | Kaya, İhsan | Özkan, Betül | Budak, Ayşenur | Karaşan, Ali

Article Type: Research Article

Abstract:  Nowadays, more companies are trying to implement blockchain technology (BT) that enables to increase the quality of the products/services to their supply chains in order to improve their performance. BT can be applied to different sectors according to their specific needs. Evaluation of BT with respect to sectors needs considering several factors and it can be considered as a multi criteria decision making (MCDM) problem. In this paper, the appropriateness of BT in Supply Chain Management (SCM) according to different sectors has been evaluated by using a MCDM methodology based on hesitant fuzzy sets (HFSs). The suggested MCDM methodology consists …of Delphi method, hesitant fuzzy Analytic Hierarchy Process (HF-AHP) and Hesitant Fuzzy Technique for Order Preference by Similarity to Ideal Solution (HF-TOPSIS) methods. In the first stage, the criteria and sub-criteria utilized for performance evaluation of BT in supply chain management have been determined by using Delphi method. The weights of main and sub-criteria have been obtained through HF-AHP method and finally, the alternative sectors have been ranked according to results of HF-TOPSIS method. For this aim, a hierarchical MCDM problem that consists of 5 main and 17 sub-criteria has been created and the alternative sectors have been evaluated. As a result, medicine/drug and jewelry sectors have been respectively determined as the most and the least suitable alternatives in order to implement BT by means of the proposed HFSs based methodology. Finally, a sensitivity analysis has been conducted to show the importance of the main criteria weights on ranking of alternatives. Show more

Keywords: Blockchain technology, supply chain management, hesitant fuzzy sets, AHP, TOPSIS

DOI: 10.3233/JIFS-179460

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 935-946, 2020