On correct structures and similarity measures of soft sets along with historic comments of Prof. D. A. Molodtsov
Santanu Acharjee, Amlanjyoti Oza

TL;DR
This paper reviews and clarifies the correct structures and similarity measures of soft sets, addressing past misconceptions and building on Molodtsov's foundational work to improve the theoretical framework of soft set theory.
Contribution
It revisits and corrects the structures and operations of soft sets, providing formal accounts, matrix representations, and similarity measures based on Molodtsov's foundational concepts.
Findings
Corrected the structures and operations of soft sets.
Developed matrix representations for soft sets.
Proposed measures to quantify similarity between soft sets.
Abstract
After the paper of Molodtsov ( D. Molodtsov, Soft set theory first results. Computers and Mathematics with Applications, 37(4-5) (1999), 19-31), soft set theory grew at a breakneck pace. Several authors have introduced various operations, relations, results, as well as other aspects in soft set theory and hybrid structures incorrectly, despite their widespread use in mathematics and allied areas. In his paper (D. A. Molodtsov, Equivalence and correct operations for soft sets. International Robotics and Automation Journal, 4(1) (2018), 18-21), Molodtsov, the father of soft set theory, pointed out the wrong results and notions. Molodtsov (D. A. Molodtsov, Structure of soft sets. Nechetkie Sistemy i Myagkie, 12(1) (2017), 5-18) also stated that the concept of soft set had not been fully understood and used everywhere. As a result, it seemed reasonable to revisit the quirks of those…
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Taxonomy
TopicsNeurological Disorders and Treatments
