Tracer–tracer relation in the Arctic stratosphere using fuzzy logic

Sarychev aerosols in the Arctic stratosphere

Liquid particle in the Arctic stratosphere

Composition analysis of liquid particles in the Arctic stratosphere C. Weisser, K. Mauersberger, J. Schreiner, N. Larsen, F. Cairo, A. Adriani, J. Ovarlez, and T. Deshler Max-Planck-Institute for Nuclear Physics, Heidelberg, Germany Danish Meteorological Institute, Copenhagen, Denmark Institute for Atmospheric Science and Climate, Consiglio Nazionale delle Ricerche, Rome, Italy Institute for In...

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...

the use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach

abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...

Topology Control in Wireless Sensor Network using Fuzzy Logic

Network sensors consist of sensor nodes in which every node covers a limited area. The most common use ofthese networks is in unreachable fields.Sink is a node that collects data from other nodes.One of the main challenges in these networks is the limitation of nodes battery (power supply). Therefore, the use oftopology control is required to decrease power consumption and increase network acce...