This paper proposes a Fuzzy Metagraph based Knowledge representation of Decision Support System (DSS). This system will help users to make correct decision with very low risk. Fuzzy Metagraph is an emerging technique widely used for real world applications. Fuzzy Metagraph is used to form the rule base to support inference system to make correct decision. This method can be used in many real wo...

Value at Risk (VaR) is a popular measure for quantifying the market risk that a financial institution faces into a single number. Due to the complexity of financial markets, the risks associated with a portfolio may vary over time. For accurate VaR estimation, it is necessary to have flexible methods that adapt to the underlying data distribution. In this paper, we consider VaR estimation by us...

Urban problems are problems of organized complexity. Thus, many models and scientific methods to resolve urban problems are failed. This study is concerned with proposing of a fuzzy system driven approach for classification and solving urban problems. The proposed study investigated mainly the selection of the inputs and outputs of urban systems for classification of urban problems. In this res...

Competition is the driving force of today's economy and it is vital for organizations to gain competitive advantages. In recent years, outsourcing has been the focus of managers as a tool for developing organizations and improving productivity. This study deals to analyze the outsourcing risks of the supply chain in the automotive industry using fuzzy inference systems. For this purpose, in the...

Quanti cation is an important topic in fuzzy theory and its applica tions An overview is presented for quanti cation in fuzzy theory After This work has been supported by the International Projects of the Flemish Community Cooperation with P R China No a brief review of quanti ers in rst order logic two approaches of gen eralizing quantifers are given the algebraic method and the substitution m...

in this paper, we consider portfolio selection problem in which security returns are regarded as fuzzy variables rather than random variables. we first introduce a concept of absolute deviation for fuzzy variables and prove some useful properties, which imply that absolute deviation may be used to measure risk well. then we propose two mean-absolute deviation models by defining risk as abs...

Failure mode and effect analysis (FMEA) is a widely used reliability analysis and risk assessment tool in various industries. It is one of the most established project management techniques to identify and eliminate failures before actual manufacturing starts. In traditional FMEA, Risk Priority Number (RPN) ranking system is used to evaluate; the risk level of failures, to rank failures, and to...

This paper is a first approach to the study of beta coefficients using fuzzy regression. We intend to improve the calculation of the sector and subsector betas of the Spanish Stock Market using fuzzy regression in an attempt to incorporate all future inaccuracies and the subjectivity associated with decision making. Our objective is to use all the information provided by the market to determine...