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    Combining fuzzy AHP and fuzzy topsis with financial ratios to design a novel performance evaluation model

    , Article International Journal of Fuzzy Systems ; Volume 18, Issue 2 , 2016 , Pages 248-262 ; 15622479 (ISSN) Shaverdi, M ; Ramezani, I ; Tahmasebi, R ; Anvary Rostamy, A. A ; Sharif University of Technology
    Springer Berlin Heidelberg  2016
    Abstract
    Financial performance evaluation is a very crucial process for industries in current highly competitive environment. Therefore, designing an accurate and appropriate performance evaluation framework is beneficial for insiders and also shareholders of a company. To evaluate financial performance, we need to consider some financial indicators that reflect the competitiveness of a company. There are many financial indicators and criteria that are vague and can be regarded as a fuzzy multiple criteria decision-making (MCDM) problem. In this paper, we developed a new financial performance evaluation framework to rank the companies in Iranian petrochemical industry based on fuzzy MCDM approach. To... 

    Critical component identification in reliability centered asset management of power distribution systems via fuzzy AHP

    , Article IEEE Systems Journal ; Vol. 6, issue. 4 , 2012 , p. 593-602 ; ISSN: 19328184 Dehghanian, P ; Fotuhi-Firuzabad, M ; Bagheri-Shouraki, S ; Razi Kazemi, A. A ; Sharif University of Technology
    Abstract
    Confronted with the power system restructuring trend reforming the past-regulated power systems, the need for a narrower insight on the costly maintenance strategies seems imperative. It falls within the realm of reliability centered maintenance to enhance the cost effectiveness of power distribution maintenance policies. From a practical point of view, this paper devises a novel approach on the basis of the analytical hierarchical process (AHP) accompanied by fuzzy sets theory to determine the most critical component types of distribution power systems to be prioritized in maintenance scheduling. In the presence of many qualitative and quantitative attributes, fuzzy sets can effectively...