Mean-variance model with fuzzy random data

Othman, Mohammad Haris Haikal and Arbaiy, Nureize and Che Lah, Muhammad Shukri and Pei, Chun Lin (2020) Mean-variance model with fuzzy random data. Journal of Critical Reviews, 7 (8). pp. 1347-1352. ISSN 2394-5125

Text AJ 2020 (355).pdf Restricted to Registered users only Download (1MB) | Request a copy

Abstract

This paper recommends discourse feeling acknowledgment from discourse signal dependent on highlights examination and PNN-classifier. The arrangement of acknowledgment incorporates discovery of discourse feelings, extraction and determination of highlights, lastly characterization. These highlights are valued to segregate the greatest number of tests precisely and the PNN classifier dependent on discriminant investigation is utilized to characterize the six distinctive articulations. The reproduced outcomes will be indicated that the channel occupied component extortion with utilized distribution presents much better exactness with less algorithmic unpredictability than other discourse feeling articulation acknowledgment draws near.

Item Type:	Article
Uncontrolled Keywords:	Fuzzy Random Data; Data Pre-processing; Mean-Variance; Standard Deviation
Subjects:	Q Science > QA Mathematics > QA1-43 General
Divisions:	Faculty of Computer Science and Information Technology > Department of Software Engineering
Depositing User:	Mr. Shahrul Ahmad Bakri
Date Deposited:	01 Mar 2022 03:58
Last Modified:	01 Mar 2022 03:58
URI:	http://eprints.uthm.edu.my/id/eprint/6558

Actions (login required)

View Item