Parameterized Rough-Fuzzy Classification on a Decision Table using a Threshold-Algorithms and Implementations

Authors

  • D. Latha Department of Computer Science and Engineering, AdikaviNannaya University, Andhra Pradesh, India
  • B. Venkataramana Department of Computer Science & Engineering, Holy Mary Institute of Technology, Hyderabad, India

Keywords:

Rough Sets, Decision table, Rough Indices, Knowledge Engineering

Abstract

Rough sets, the invention of Pawlak, find various applications in knowledge engineering, for improving the quality and accuracy, subsequently, Parameterized Rough Sets Model has come into existence. In this paper, three algorithms are developed to compute parameterized rough computing based indices of similar objects in decision table with fuzzy decision attributes using a threshold on fuzziness and these algorithms are implemented these algorithms using C.

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Published

2021-07-31

How to Cite

D. Latha, & B. Venkataramana. (2021). Parameterized Rough-Fuzzy Classification on a Decision Table using a Threshold-Algorithms and Implementations. International Journal of Innovative Analyses and Emerging Technology, 1(1), 72–80. Retrieved from https://openaccessjournals.eu/index.php/ijiaet/article/view/1938

Issue

Vol. 1 No. 1 (2021): June

Section

Articles