The intuitionistic fuzzy set has shown definite advantages in handling vagueness and
uncertainty over a fuzzy set. Taking the powerfulness of the analytic hierarchy process (AHP) …

The aim of this paper is to develop a new Atanassov's intuitionistic fuzzy (A-IF) programming
method to solve heterogeneous multiattribute group decision-making problems with A-IF …

Soft pneumatic actuators (SPAs) have been widely used in the design of various soft robots
due to their compliance, adaptability, and high force density characteristics. However, it is a …

Due to the growing trend of world economic globalization and “The Belt and Road” initiative
launched by the Chinese government, transnational public–private partnership (TPPP) has …

This paper considers the attitude control problem of a new class of aerial and underwater
vehicles with quadrotor structures. A novel single-input FUZZY P+ ID attitude controller is …

In practical fuzzy applications, such as image processing, the utilization of precise models in
hardware may not be the most efficient approach due to increased energy consumption and …

When a robot completes end-effector tasks, internal error noises always exist. To resist
internal error noises of robots, a novel fuzzy recurrent neural network (FRNN) is proposed …

Yield forecasting is an important task for the manufacturer of semiconductors. Owing to the
uncertainty in yield learning, it is, however, often difficult to make precise and accurate yield …

In stochastic computing (SC) systems numbers are represented with mean values of random
binary sequences. This paper introduces a novel fuzzy inference architecture, in which the …

Modern NVMe SSDs are widely deployed in diverse domains due to characteristics like high
performance, robustness, and energy efficiency. It has been observed that the impact of …