NEW FORM OF SOFT SETS AND ITS PROPERTIES

Molodtsov introduced the concept of soft set theory as a general mathematical tool for dealing with uncertainty. Many researchers have studied this theory and developed several models to solve decision-making and medical diagnostic problems, but most of these models deal only one set of parameters. This causes problems for users, especially with those who use questionnaires in their work and studies. Also Alkhazaleh and Salleh, also introduced the concept of soft-expert sets. This structure can be considered as a generalization of soft-sets in which experts and their opinions have been added to make decision analysis easier to handle. In our model, is more generalization of soft- set and soft-expert set, the collection of more specific information about object sets using mappings. This concept is more powerful for information tables, since collection of the information is very particular to define by mapping and also this model is approaches to rough set theory and information system.

Authors

Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2024-10-25
DOI
https://doi.org/10.52783/cana.v32.2106
Primary Topic
Fuzzy and Soft Set Theory
Type
article
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article

NEW FORM OF SOFT SETS AND ITS PROPERTIES

Basavaraj M Ittanagi
Communications on Applied Nonlinear Analysis
Fuzzy and Soft Set Theory
article

NEW FORM OF SOFT SETS AND ITS PROPERTIES

Basavaraj M Ittanagi
article en

Abstract

Molodtsov introduced the concept of soft set theory as a general mathematical tool for dealing with uncertainty. Many researchers have studied this theory and developed several models to solve decision-making and medical diagnostic problems, but most of these models deal only one set of parameters. This causes problems for users, especially with those who use questionnaires in their work and studies. Also Alkhazaleh and Salleh, also introduced the concept of soft-expert sets. This structure can be considered as a generalization of soft-sets in which experts and their opinions have been added to make decision analysis easier to handle. In our model, is more generalization of soft- set and soft-expert set, the collection of more specific information about object sets using mappings. This concept is more powerful for information tables, since collection of the information is very particular to define by mapping and also this model is approaches to rough set theory and information system.

Communications on Applied Nonlinear AnalysisVol. 32(1s)
Peace, Justice and strong institutions
Openalex Percentile: Top 75%
Fuzzy and Soft Set Theory
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