A Review on Fuzzy Mathematical Modeling in Biology

Vinothini, P.; Kavitha, K.

doi:10.37418/amsj.9.8.67

Cited by 1 publication

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References 4 publications

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“…The unifying idea of rewriting rules that define operators in operator algebra underpins a mathematical modelling framework. This framework is declarative because rewriting rules allows it to express high-level mathematical notions in a symbolic and computationally manipulable manner [33] [34]. As shown in Figure 11, the modelling process in biosciences is based on four facts: conceptualisation, mathematical formalisation, management and optimisation [12,[35][36][37].…”

Section: Mathematical Modelling With Biological Systemsmentioning

confidence: 99%

Review of Mathematical Modelling Techniques with Applications in Biosciences

2022

ijcsm

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Modelling can provide intellectual frameworks that are necessary to translate data into knowledge. Mathematical modelling has played an important role in many applications, such as ecology, genetics, engineering, psychology, sociology, physics and computer science, in recent years. This study focused on reviewing mathematical modelling and its applications to biological systems by tracing many metabolic activities of cellular interactions on the one hand and between the spread of epidemics and population growth on the other hand. Various mathematical equations have played fundamental roles in the formation of these systems for model development procedures by describing them mathematically and establishing relationships that characterise the dynamics of a biological phenomenon. Consequently, the creation of new mathematical representations and simulation algorithms is important to the success of biological modelling initiatives. Finally, the optimisation approach performs its primary role in directing and controlling interactions by adjusting the parameters that provide the best possible result for the system

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Section: Mathematical Modelling With Biological Systemsmentioning

confidence: 99%

Review of Mathematical Modelling Techniques with Applications in Biosciences

2022

ijcsm

View full text Add to dashboard Cite

show abstract

A Review on Fuzzy Mathematical Modeling in Biology

Cited by 1 publication

References 4 publications

Review of Mathematical Modelling Techniques with Applications in Biosciences

Review of Mathematical Modelling Techniques with Applications in Biosciences

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