Yazar "Shiraz, Seyedhadi Eslamian" seçeneğine göre listele

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    Application of linear programming to derive the local weight in the analytic hierarchy process
    (Inderscience Publishers, 2016) Şengül, Ümran; Eren, Miraç; Shiraz, Seyedhadi Eslamian
    The analytic hierarchy process (AHP) has become more developed in both the areas of theory and practice. The important topic here, is how to drive the local weight vector from a pairwise reciprocal matrix. In the literature, there are several methods used to accomplish this. Most recently, Hosseinian et al. (2009) suggested the LP-GW-AHP because it obviously provides better weights. In this article, the LP-GW-AHP method is applied to multi-level decision problems, and the weights were compared with Saaty's eigenvector. According to our findings, of the LP-GW-AHP method, Saaty's eigenvector method differs slightly from that derived in the local weight values. © Copyright 2016 Inderscience Enterprises Ltd.
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    Öğe
    Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey
    (Pergamon-Elsevier Science Ltd, 2015) Sengul, Umran; Eren, Mirac; Shiraz, Seyedhadi Eslamian; Gezder, Volkan; Sengul, Ahmet Bilal
    Multi-Criteria Decision Making (MCDM) techniques are gaining popularity in energy supply systems. The aim of this paper is to develop the multi-criteria decision support framework for ranking renewable energy supply systems in Turkey. Given the selection of renewable energy supply systems involves many conflicting criteria, multi criteria decision methods (Fuzzy TOPSIS) were employed for the analysis. The Interval Shannon's Entropy methodology was used to determine weight values of the criteria. In this study, alpha = 0.1, 0.5 and 0.9 values based sensitivity analysis were performed. Three alpha-cutting levels were identical to the sequence of alternatives. According to result, the first criterion in preference ranking of renewable energy sources in Turkey is the Amount of Energy Produced, followed by the ranking systems Land use, Operation and maintenance cost, Installed capacity, Efficiency, Payback period, Investment cost, Job creation, and Value of CO2 emission. Thus the multi-criteria analysis showed that the Hydro Power Station is determined to be the most renewable energy supply system in Turkey. Additionally, the Geothermal Power Station, Regulator and Wind Power Station are determined to be the second, third and fourth, respectively. The government of Turkey should invest, in order of priority, in these systems. The government should also evaluate the projects, which are related to these renewable energy resources. (C) 2014 Elsevier Ltd. All rights reserved.