nowadays, watershed management practices are undertaken based on selective criteria and/or a specific purpose such as a decrease in flood risk, soil erosion and the like. in this respect,fuzzy logic has the ability to manage a wide range of options for decision making. this researchaimed to use the fuzzy logic theory to priorities watershed management practices consideringtime and budget constr...

In this paper, several modifications to the Fuzzy ARTMAP neural network architecture are proposed for conducting classification in complex, possibly noisy, environments. The goal of these modifications is to improve upon the generalization performance of Fuzzy ART-based neural networks, such as Fuzzy ARTMAP, in these situations. One of the major difficulties of employing Fuzzy ARTMAP on such le...

This study presents a new early warning evaluating method and decision mechanism for urban emergency in which the risk factors are assessed by fuzzy numbers. By using the fuzzy preference relation matrix and the extended fuzzy AHP, the relative weight of each risk factor can be estimated. Then we evaluate the total fuzzy risk value by aggregating the severity of loss of risk factor and the rela...

Probabilistic safety assessment (PSA) which plays a crucial role in risk evaluation is a quantitative approach intended to demonstrate how a nuclear reactor meets the safety margins as part of the licensing process. Despite PSA merits, some shortcomings associated with the final results exist. Conventional PSA uses crisp values to represent the failure probabilities of basic events. This causes...

selecting an effective project plan is a significant area in the project management. the present paper introduces a technique to identify the project plan efficient frontier for assessing the alternative project plans and selecting the best plan. the efficient frontier includes two criteria: the project cost and the project time. besides, the paper presents a scheme to incorporate directed acyc...

This contribution is deemed in the view of the authors, as a methodological proposal in order to employ the well known fuzzy approach in a context of operational risk management. Even though the available data can not be considered native fuzzy, we show that modelling them according to fuzzy intervals is useful from two point of view: it allows to take into account and to exploit more informati...

This research develops a fuzzy knowledge-based decision support system (FKBDSS) that measures and predicts the degree of severity of the work-related risk associated with shoulder and neck pain (SNP) that is a prevalent pain complaint in an occupational environment. Assessing the harshness of SNP is a dreary chore, since the risk factors are featured with imprecision, uncertainty and vagueness....