Fuzzy multicriteria for developing a risk management system in seismically prone areas

Mapping the flood-prone areas for developing a flood risk management system in the northeast of Iran

Developing a Risk Management Model for Banking Software Development Projects Based on Fuzzy Inference System

Risk management is one of the most influential parts of project management that has a major impact on the success or failure of projects. Due to the increasing use of information technology (IT) systems in all fields and the high failure rate of IT projects in software development and production, it is essential to effectively manage these projects is essential. Therefore, this study is aimed t...

Developing a Method for Increasing Accuracy and Precision in Measurement System Analysis: A Fuzzy Approach

Measurement systems analysis (MSA) has been applied in different aspect of industrial assessments to evaluate various types of quantitative and qualitative measures. Qualification of a measurement system depends on two important features: accuracy and precision. Since the capability of each quality system is severely related to the capability of its measurement system, the weakness of the two...

Reviews of management developing approaches in coastal areas

Coastal areas consider as a strategic and important region of each country. Proximity of water and land always was the origin of human societies’ formation. Currently, in the rapidly changing world the emphasis shifts on urban issues according to strategy and urban management, especially management of coastal development. Iran considering wide costal area in the north and south is no exception....

Using fuzzy FMEA and fuzzy logic in project risk management

Risk management is one of the most important phases of project management and isthe most recently used by many researchers. In this paper, a fuzzy based method wasproposed which identifies different kinds of risks through the project life cycle.Then, the project risk magnitude can be obtained in regards to five factors, namely“severity”, “occurrence”, and “not detection” which form fuzzy FMEA a...