Quantum Fuzzy Logic and Time

Quantum Decision, Quantum Logic, and Fuzzy sets

In the paper, we show that quantum logic of linear subspaces can be used for recognition of random signals by a Bayesian energy discriminant classifier. The energy distribution on linear subspaces is described by the correlation matrix of the probability distribution. We show that the correlation matrix corresponds to von Neumann density matrix in quantum theory. We suggest the interpretation o...

Time and Modality in Avicennan Logic

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...

Energy discriminant analysis, quantum logic, and fuzzy sets

It is shown that the quantum logic of linear subspaces can be used for recognition of random signals by a Bayesian energy discriminant classifier. The energy distribution on linear subspaces is described by a correlation matrix of probability distribution. We show that the correlation matrix corresponds to von Neumann density matrix in the quantum theory. We offered the interpretation of quantu...

design of an analog fuzzy logic controller chip

fuzzy logic has been developed over the past three decades into a widely applied techinque in classification and control engineering. today fuzzy logic control is one of the most important applications of fuzzy set theory and specially fuzzy logic. there are two general approachs for using of fuzzy control, software and hardware. integrated circuits as a solution for hardware realization are us...