Real-Life Applications of Fuzzy Logic

Abstract

The theory of fuzzy logic is based on the notion of relative graded membership, as inspired by the processes of human perception and cognition. Lotfi A. Zadeh published his first famous research paper on fuzzy sets in 1965. Fuzzy logic can deal with information arising from computational perception and cognition, that is, uncertain, imprecise, vague, partially true, or without sharp boundaries. Fuzzy logic allows for the inclusion of vague human assessments in computing problems. Also, it provides an effective means for conflict resolution of multiple criteria and better assessment of options. New computing methods based on fuzzy logic can be used in the development of intelligent systems for decision making, identification, pattern recognition, optimization, and control.Fuzzy logic is extremely useful for many people involved in research and development including engineers

Fuzzy Logic Based Selective Harmonic Elimination for Single Phase Inverters

“…The Simulink block is given in Figure 11 where the aim is to eliminate 10 voltage harmonics (3,5,7,9,11,13,15,17,19,21). The switching angles and the corresponding switching times for N=11 and m=0.9 are given in Table 2.…”

“…The harmonics 3,5,7,9,11,13,15,17,19,21 are all eliminated from this spectrum. A change in m from 0.8 to 1 is applied at time t=0.1s and the voltage waveform obtained is presented in Figure 15.…”

A Fuzzy Simulation Model for Military Vehicle Mobility Assessment

“…The relationship between inputs and outputs is given by some simple statements rather than complex mathematical equations [28]. Fuzzy based systems are widely used in many real-time applications [29]. Let be a fuzzy subset.…”

Implementing Fuzzy Logic and AHP into the EFQM model for performance improvement: A case study

“…Fuzzy Logic allows for the inclusion of vague human assessments in computing problems. Also, it provides an effective means for conflict resolution of multiple criteria and better assessment of options [63]. A fuzzy set is a class of objects, with a continuum of membership grades, where the membership grade can be taken as an intermediate value between 0 and 1.…”