Application of Uncertainty Models in Bioinformatics

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Author(s): B.K. Tripathy (VIT University, India), R.K. Mohanty (VIT University, India)and Sooraj T.R. (VIT University, India)
Copyright: 2016
Pages: 14
Source title: Handbook of Research on Computational Intelligence Applications in Bioinformatics
Source Author(s)/Editor(s): Sujata Dash (North Orissa University, India)and Bidyadhar Subudhi (National Institute of Technology, India)
DOI: 10.4018/978-1-5225-0427-6.ch009

Keywords: Artificial Intelligence / Bioinformatics / Computer Science & IT / Medical Information Science Reference

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Abstract

This chapter provides the information related to the researches enhanced using uncertainty models in life sciences and biomedical Informatics. The main emphasis of this chapter is to present the general ideas for the time line of different uncertainty models to handle uncertain information and their applications in the various fields of biology. There are many mathematical models to handle vague data and uncertain information such as theory of probability, fuzzy set theory, rough set theory, soft set theory. Literatures from the life sciences and bioinformatics have been reviewed and provided the different experimental & theoretical results to understand the applications of uncertain models in the field of bioinformatics.

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Application of Uncertainty Models in Bioinformatics

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