Substantial Differences between Fuzzy Set and Soft Set Theories

Muhammad Sadiq Khan, Tutut Herawan

2018

Abstract

Set theories like fuzzy set, rough set, and soft set for dealing with vague or uncertain data have their own scopes. Fuzzy set theory was considered as most suitable tool for vague data before the concept of soft set theory, but after its presentation, soft set is considered as most appropriate among all. Beside hundreds of applications, the main superiority and reason of most appropriateness of soft set theory over fuzzy set theory is still lying as hidden and unclear as the vagueness of uncertain data itself. In this paper, we reveal the main differences between soft set and fuzzy set theory which discloses the appropriateness of soft set theory.

Paper Citation

in Harvard Style

Khan M. and Herawan T. (2018). Substantial Differences between Fuzzy Set and Soft Set Theories. In Proceedings of the 3rd International Conference of Computer, Environment, Agriculture, Social Science, Health Science, Engineering and Technology - Volume 1: ICEST, ISBN 978-989-758-496-1, pages 384-387. DOI: 10.5220/0010043403840387

in Bibtex Style

@conference{icest18,
author={Muhammad Sadiq Khan and Tutut Herawan},
title={Substantial Differences between Fuzzy Set and Soft Set Theories},
booktitle={Proceedings of the 3rd International Conference of Computer, Environment, Agriculture, Social Science, Health Science, Engineering and Technology - Volume 1: ICEST,},
year={2018},
pages={384-387},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010043403840387},
isbn={978-989-758-496-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference of Computer, Environment, Agriculture, Social Science, Health Science, Engineering and Technology - Volume 1: ICEST,
TI - Substantial Differences between Fuzzy Set and Soft Set Theories
SN - 978-989-758-496-1
AU - Khan M.
AU - Herawan T.
PY - 2018
SP - 384
EP - 387
DO - 10.5220/0010043403840387