Title: Enhancing decision making with soft set theory: a novel approach to object recognition from imprecise data

Authors: Surendra Nath Bhagat; Premansu Sekhar Rath; Anirban Mitra

Addresses: Department of Computer Science and Engineering, GIET University, Gunupur, 765022, Odisha, India ' Department of Computer Science and Engineering, GIET University, Gunupur, 765022, Odisha, India ' Department of Computer Science and Engineering, Amity University, Kolkata, 700135, West Bengal, India

Abstract: Soft set theory is a useful mathematical paradigm for dealing with imprecise information and controlling uncertainty. By offering parameterised family of subsets defined over a universal set of parameters, it allows for flexibility in handling uncertainty in a variety of situations. Using soft set theory to express ambiguous problem parameters is still difficult, despite its benefits. With an emphasis on parameter reduction to expedite the selection of ideal objects, this paper explores the function of soft set theory in decision making. Parameter reduction increases efficiency by streamlining decision-making procedures while preserving crucial information. Additionally, a comparison table built using fuzzy soft set is used in a novel approach to object detection from imprecise data. In unpredictable situations, this approach increases decision-making accuracy and dependability. The study illustrates the potential of soft and fuzzy soft sets to improve decision-making processes through real-world situations, showcasing their adaptability and resilience in dealing with uncertainty.

Keywords: soft set; uncertainty; fuzzy soft sets; object recognition; decision making.

DOI: 10.1504/IJICA.2025.148631

International Journal of Innovative Computing and Applications, 2025 Vol.15 No.3, pp.156 - 166

Received: 22 Jan 2025
Accepted: 19 May 2025
Published online: 16 Sep 2025 *

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