The potential and effectiveness of the newly developed Pareto-based multiobjective
evolutionary algorithms (MOEA) for solving a real-world power system multiobjective …

In this paper, we present a survey on recent trends in robotics and artificial intelligence in the
furniture industry. We first introduce the state-of-the-art applications of traditional and …

A rule base covering the entire input domain is required for the conventional Mamdani
inference and Takagi–Sugeno–Kang (TSK) inference. Fuzzy interpolation enhances …

In this paper we propose GP-COACH, a Genetic Programming-based method for the
learning of COmpact and ACcurate fuzzy rule-based classification systems for High …

From a neo-institutional perspective, this chapter investigates the function and interaction of
globalization and decentralization in China's higher education administrative reform. Both …

Studies in Evolutionary Fuzzy Systems (EFSs) began in the 90s and have experienced a fast
development since then, with applications to areas such as pattern recognition, curve‐fitting …

Abstract The use of Takagi–Sugeno–Kang (TSK) fuzzy systems in regression problems is
widely extended due to the precision of the obtained models. Moreover, the use of simple …

This paper presents an experimental study for turning process in machining by using Takagi–
Sugeno–Kang (TSK) fuzzy modeling to accomplish the integration of multi-sensor …

Machine scheduling is a critical problem in industries where products are custom-designed.
The wide range of products, the lack of previous experiences in manufacturing, and the …

In this paper, a Multitree Genetic Programming-based method is developed to learn an
INTerpretable and ACcurate Takagi-Sugeno-Kang (TSK) fuzzy rule based sYstem (MGP …