Formal concept analysis (FCA) visualizes formal concepts in terms of a concept lattice.
Usually, it is an NP‐problem and consumes plenty of time and storage space to update the …

Formal concept analysis (FCA) is a mathematical framework for data analysis and
processing tasks. Based on the lattice and order theory, FCA derives the conceptual …

Looking for associations in data is one of the data mining tasks that has aroused more
interest in the literature. In this area, incorporating concepts of fuzzy set theory is useful in …

We present a hardware-software co-synthesis system, called MOGAC, that partitions and
schedules embedded system specifications consisting of multiple periodic task graphs …

Today is the era of intelligence in machines. With the advances in Artificial Intelligence,
machines have started to impersonate different human traits, a chatbot is the next big thing …

In the design of fuzzy rule-based models we strive to develop models that are both accurate
and interpretable (transparent). The approach proposed here is aimed at the enhancement …

Recently, fuzzy FCA becomes popular in researchers for representing the knowledge
precisely. In this study we present a method for decomposition of given fuzzy formal context …

In the single machine environment, the problems of Apriori and FP-Growth algorithm in large-
scale data association rules mining are high memory consumption, low computing …

A novel optimal fuzzy integrated control method is proposed and used to a half-car model
with active suspension system. The cultural algorithm improved by the use of a dynamic …

Recently, fuzzy set theory in Formal Concept Analysis (FCA) has become an effective tool for
knowledge representation and discovery. In this paper we present a method, for reducing …