Although fuzzy systems demonstrated their ability to solve different kinds of problems in
various applications, there is an increasing interest on augmenting them with learning …

This paper presents a new fuzzy logic approach to determining the best combination of
mobile phone form elements for matching a given product image. A consumer-oriented …

Highlights•Precision agriculture concept applied to beekeeping data analysis.•Temperature
data is sufficient to detect several important honey bee colony states.•Fuzzy Inference …

Fuzzy logic is an AI method that is being implemented in a growing number of different
fields. One of these applications is tool wear monitoring. The construction of a fuzzy …

This work presents a novel intelligent system designed using a multi-agent hardware
platform to detect improvised explosive devices concealed in the ground. Each agent is …

Implementation of robust, reliable tool condition monitoring (TCM) systems in one of the
preconditions of introducing of Industry 4.0. While there are a huge number of publications …

Prediction of cutting forces is very important for the design of cutting tools and for process
planning. This paper presents a fuzzy modelling method of cutting forces based on …

A Genetic Fuzzy Agent (GFA) using the ontology model for Meeting Scheduling System
(MSS) is presented in this paper. The ontology model includes the Fuzzy Meeting …

Making decisions under uncertainty is very challenging but necessary as most real-world
scenarios are plagued by disturbances that can be generated internally, by the hardware …

Failure mode and effects analysis (FMEA) consists of the famous qualitative management
methods used for improvements in management processes. This paper aims to determine …