This paper presents a five-valued representation of bifuzzy sets. This representation is related to a five-valued logic that uses the following values: true, false, inconsistent, incomplete and ambiguous. In the framework of fivevalued representation, formulae for similarity, entropy and syntropy of bifuzzy sets are constructed.

In this research we concentrate on developing a bifuzzy model for a Single-period inventory problem. The conventional studies have focused on the cases that the demands are probabilistic and follow certain distribution function; or the demands are considered as fuzzy variables; or the demands is expressed by random fuzzy variable. Recently, fuzzy random variables have been applied to some decis...

The class of nitely locally threshold testable !-languages is proved to be decidable relatively to the class of all regular !-languages. We apply this to the monadic second order theory of innnite word structures with successor function: it is decidable whether for a given monadic second-order formula there exists a rst-order formula with the same set of innnite word models.

This paper proposes an equilibrium computation method using linguistic variables based on the conflicting bifuzzy sets. The linguistic terms were defined and associated with the triangular fuzzy number as well as labeling system in the early stages. Then, the negation operator was introduced and the bifuzzy approaches were employed to derive the aggregation equilibrium linguistic judgement for ...

Successor-style representations have many advantages for reinforcement learning: example, they can help an agent generalize from past experience to new goals, and been proposed as explanations of behavioral neural data human animal learners. They also form a natural bridge between model-based model-free RL methods: like the former make predictions about future experiences, latter allow efficien...