ContraSoft Set and ContraRough Set with using Upside-down logic

A Soft Set is a parameterized family of subsets of a universe, where each parameter selects elements relevantunder that condition. A Rough Set is an approximation framework that employs lower and upper sets tocapture definite and possible memberships under an indiscernibility relation. Recent research has exploredextensions of Soft Sets and Rough Sets through concepts such as Hyper, SuperHyper, and Tree structures. Inthis paper, we investigate the ContraSoft Set and ContraRough Set, which enrich Soft Sets and Rough Sets byincorporating the notion of contradiction values. We further examine their mathematical structures, providesimple illustrative applications, and discuss how these constructions can be applied within the framework ofup-side-down logic.

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Publication Details

Journal
Statistics Optimization & Information Computing
Published
2025-11-10
DOI
https://doi.org/10.19139/soic-2310-5070-3022
Primary Topic
Fuzzy and Soft Set Theory
Type
article
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article

ContraSoft Set and ContraRough Set with using Upside-down logic

Raed Hatamleh, Ahmed Salem Heilat, Takaaki Fujita
Statistics Optimization & Information Computing
Fuzzy and Soft Set Theory
article

ContraSoft Set and ContraRough Set with using Upside-down logic

Raed Hatamleh, Ahmed Salem Heilat, Takaaki Fujita
article en

Abstract

A Soft Set is a parameterized family of subsets of a universe, where each parameter selects elements relevantunder that condition. A Rough Set is an approximation framework that employs lower and upper sets tocapture definite and possible memberships under an indiscernibility relation. Recent research has exploredextensions of Soft Sets and Rough Sets through concepts such as Hyper, SuperHyper, and Tree structures. Inthis paper, we investigate the ContraSoft Set and ContraRough Set, which enrich Soft Sets and Rough Sets byincorporating the notion of contradiction values. We further examine their mathematical structures, providesimple illustrative applications, and discuss how these constructions can be applied within the framework ofup-side-down logic.

Statistics Optimization & Information ComputingVol. 14(6)
Jadara University (JO)
Openalex Percentile: Top 57%
Fuzzy and Soft Set Theory
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ContraSoft Set and ContraRough Set with using Upside-down logic — Raed Hatamleh, Ahmed Salem Heilat, et al. · Statistics Optimization & Information Computing (2025) | TGRS Research Map | TGRS