Representation of Knowledge Involving Soft Fuzzy Numbers and Its Application in Decision Making Problems

Authors

  • Arul Roselet Meryline S. Research Scholar, Department of Mathematics, Stella Maris College (Autonomous), Chennai, Tamil Nadu, India
  • Felbin C. Kennedy Research Supervisor, Department of Mathematics, Stella Maris College (Autonomous), Chennai, Tamil Nadu, India

DOI:

https://doi.org/10.37591/rtpc.v6i1.2150

Abstract

In this study, we introduce the concept of a soft fuzzy number and study its arithmetic operations, a fuzzy number valued measure and an aggregation operator on the collection of soft fuzzy numbers. In real life situations, the perception of characteristic feature of an entity or a collection of entities is expressed by us as soft fuzzy number valued information system, so that the loss of information in understanding the characteristic nature is captured. An algorithm is proposed to measure the characteristic feature of an entity or collection of entities using soft fuzzy number valued measure for handling problems in decision making and the same is elucidated with a real life problem.

Keywords: Aggregation, information system soft fuzzy numbers, measure on soft fuzzy numbers

Cite this Article

Arul Roselet Meryline S., Felbin C. Kennedy. Representation of Knowledge Involving Soft Fuzzy Numbers and Its Application in Decision Making Problems. Recent Trends in Parallel Computing. 2019; 6(1): 38–47p.


Downloads

Published

2019-06-12

Issue

Vol. 6 No. 1 (2019)

Section

Research Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.