The paper describes methodology of dealing with financial modelling under uncertainty with risk and vagueness aspects. An approach to modelling risks by the Value at Risk methodology under imprecise and soft conditions is solved. It is supposed that the input data and problem conditions is difficult to determine as real numbers or as some precise distribution function. Thus, vagueness is modell...

In this paper, a model for fuzzy risk of low yield of a crop is developed to study the implications of a reservoir operating policy model. When an optimal operating policy is derived based on a known objective, the policy itself does not, in general, indicate a measure of the system performance unless a criterion to this effect is embedded in the objective function. While a systems analyst is i...

In the traditional treatment, risk situations are modeled by random variables. This paper focuses on risk situations described by fuzzy numbers. The goal of the paper is to define and characterize possibilistic risk aversion and study some of its indicators. Key–Words: Possibilistic risk aversion, possibilistic indicators

quality function development (qfd) is a planning tools used to fulfill customer expectation and qfd is a systematic process to translating customer requirement (whats) into technical description (hows). qfd aims to maximize customer satisfactions related to enterprise satisfaction. the inherent fuzziness of relationships in qfd modeling justifies the use of fuzzy regression for estimating the r...

The high complexity of the supply chain network and the characteristics of products made supply chain management of agricultural products were more susceptible to the risks emergence of loss. Therefore, it is required to develop a mechanism for price negotiation which distributes the risks fairly for each stakeholder in the supply chain. In addition it is necessary to identify and evaluate supp...

Several studies have proposed the concept of fuzzy logic technique" to assess risk in information security field. These studies revealed that in risk analysis process, evaluators face difficulties in collecting accurate data and adequate knowledge to estimate the probability of threats and its consequences. The estimated value contributes to data fuzziness. As a result, with the estimated value...

Software Cost Estimation is the challenging factor in project management. Accurate cost estimation helps to complete project with in time and budget. Due to this behavior of the project it is considered as a risky project .Under these conditions risk management is mandatory. Large numbers of estimation models have been proposed over the last 30 years. Constructive Cost Model (COCOMO) is one of ...