Quantum mechanics

Function (biology)

Expert system

Algorithm

Random variable

Biology

Statistics

Probabilistic logic

Ambiguity

Power (physics)

Estimation theory

Data mining

Computer science

Mathematical optimization

Evolutionary biology

Soft computing

Physics

Decision theory

Likelihood function

Mathematics

Political science

Rationality

Reliability (semiconductor)

Artificial intelligence

Measure (data warehouse)

Programming language

Artificial neural network

Machine learning

IEEE Transactions on Fuzzy Systems

Due to the complexity of the real world, effective consideration of the ambiguity and reliability of information is a challenge that must be addressed by the correct decision of the expert system. Z-number provides us with a good idea because it describes the probability of the random variable and the possibility measure. Recently, Yager presented a soft likelihood function that effectively combines probabilistic evidence to deal with the conflict information. This article generalizes Yager's soft likelihood function based on Z-numbers and proposes a Z-numbers soft likelihood function (ZSLF) decision model. The application examples show the rationality and effectiveness of the method. The comparison and discussion further show the advantages of the ZSLF decision model.

ZSLF: A New Soft Likelihood Function Based on Z-Numbers and Its Application in Expert Decision System