Hesitant fuzzy linguistic term set (HFLTS) is a useful tool for describing people's subjective
cognitions in the process of decision making. Multiple criteria decision making (MCDM) …

In the process of group decision making, dual hesitant fuzzy sets (DHFSs) are a very flexible
tool for decision makers (DMs) to express their preferences for alternatives. Based on an …

In this paper, we propose a new fuzzy time series (FTS) forecasting method based on the
proportions of intervals and particle swarm optimization (PSO) techniques. First, it uses PSO …

With the popularity of online hotels booking, increasing attention has been paid to hotel
recommendation methods. To provide personalized hotel recommendation for different …

In order to analyze the dynamic behaviors of complex systems in the era of big data, a new
rule-based modeling approach is proposed in this paper. This approach considers structural …

In this paper, we elaborate on a new design approach to the development and analysis of
granular input spaces and ensuing granular modeling. Given a numeric model (no matter …

Numerous evolutionary algorithms have been proposed which are inspired by the amazing
lives of creatures, such as animals, insects, and birds. Each inspired algorithm has its own …

Rule-based fuzzy models play a dominant role in fuzzy modeling and come with extensive
applications in the system modeling area. Due to the presence of system modeling error, it is …

Rule learning is one of the most popular types of machine-learning approaches, which
typically follow two main strategies:'divide and conquer'and 'separate and conquer'. The …

We present our results on the adoption of a set-theoretic framework for granular computing
to situation awareness. The proposed framework guarantees a high degree of flexibility in …