Exploring the Structure of Possibility Multi-Fuzzy Soft Ordered Semigroups Through Interior Ideals
Abstract
:1. Introduction
- Introduce possibility multi-fuzzy soft sets: develop this concept in relation to ordered semigroups and clarify its applications in decision sciences.
- Define possibility multi-fuzzy soft ideals: establish definitions for left (and right) ideals and interior ideals, examining their interconnections through illustrative examples.
- Propose new concepts: introduce possibility multi-fuzzy soft ideals and interior ideals for various classes, including regular and intra-regular ordered semigroup relations.
- Characterize simple ordered semigroups: Present a novel method for characterizing these semigroups using possibility multi-fuzzy soft ideals and interior ideals.
- Explore possibility multi-fuzzy soft semiprime ideals: initiate this concept and assess its relevance within intra-regular and regular ordered semigroups.
2. Preliminaries
- .
- .
- .
- .
- .
- .
- For all and,.
3. Possibility Multi-Fuzzy Soft Ordered Semigroups
4. Application of Possibility Multi-Fuzzy Soft Ordered Semigroup
5. Possibility Multi-Fuzzy Soft Interior Ideals
- If and then.
- Ifand then
- If and are a possibility multi-fuzzy soft left ideal of , then their union is also a possibility multi-fuzzy soft left ideal of , denoted by .
- If and are a possibility multi-fuzzy soft right ideal of then their unionis also a possibility multi-fuzzy soft right ideal of , denoted by .
- .
- .
6. Possibility Multi-Fuzzy Soft Simple Ordered Semigroup
7. Semiprime Possibility Multi-Fuzzy Soft Ideals
8. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Feature | Possibility Multi-Fuzzy Soft Sets | Bipolar Fuzzy Sets | Intuitionistic Fuzzy Sets |
---|---|---|---|
Core concept | Combines multi-fuzzy sets, soft set theory, and possibility theory to handle complex uncertainties. | Represents both positive and negative membership values. | Uses membership, non-membership, and hesitation values. |
Membership representation | Multi-valued membership functions influenced by parameters of soft sets. | Positive and negative membership functions. | Membership and non-membership functions with hesitation. |
Complexity handling | High, capable of addressing multi-criteria and parameterized uncertainty. | Moderate, focuses on duality of perspectives. | Moderate, focuses on hesitation or ambiguity. |
Mathematical framework | Extends soft sets using multi-fuzzy and possibility logic. | Built on bipolar fuzzy logic. | Built on intuitionistic fuzzy logic. |
Level of uncertainty | Rich models layered and parameterized uncertainties. | Moderate, dual aspects of uncertainty. | Balanced accounts for both ambiguity and hesitation. |
Applications | Decision sciences, optimization, and multi-criteria analysis (MCA). | Sentiment analysis, conflict resolution, and evaluation systems. | Medical diagnostics, pattern recognition, and risk assessment. |
Example use case | Ranking projects based on multi-criteria under vague conditions. | Modelling approvals and rejections simultaneously. | Assessing a candidate’s suitability with incomplete information. |
Strengths | Highly flexible, parameter-driven framework for complex systems. | Effectively models dualistic problems. | Explicitly models ambiguity and hesitation. |
Weaknesses | More complex implementation and interpretation. | Limited to bipolar scenarios. | Less flexible for multi-dimensional uncertainty. |
Aspect | General Type-2 FLS | Proposed System (PMFSS) |
---|---|---|
Membership representation | Interval-based with secondary membership | Multiple discrete membership values |
Additional measure | Probability associated with each interval value | Possibility measure for each membership |
Focus | Captures uncertainty through intervals and FOUs | Models’ multi-criteria decision scenarios |
Flexibility | Accounts for uncertainty granularity | Handles multi-criteria and contextual data |
Examples of use | Control systems, robotics, and real-time decisions | Algebraic structures and decision sciences |
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Habib, S.; Habib, K.; Leoreanu-Fotea, V.; Khan, F.M. Exploring the Structure of Possibility Multi-Fuzzy Soft Ordered Semigroups Through Interior Ideals. Mathematics 2025, 13, 210. https://doi.org/10.3390/math13020210
Habib S, Habib K, Leoreanu-Fotea V, Khan FM. Exploring the Structure of Possibility Multi-Fuzzy Soft Ordered Semigroups Through Interior Ideals. Mathematics. 2025; 13(2):210. https://doi.org/10.3390/math13020210
Chicago/Turabian StyleHabib, Sana, Kashif Habib, Violeta Leoreanu-Fotea, and Faiz Muhammad Khan. 2025. "Exploring the Structure of Possibility Multi-Fuzzy Soft Ordered Semigroups Through Interior Ideals" Mathematics 13, no. 2: 210. https://doi.org/10.3390/math13020210
APA StyleHabib, S., Habib, K., Leoreanu-Fotea, V., & Khan, F. M. (2025). Exploring the Structure of Possibility Multi-Fuzzy Soft Ordered Semigroups Through Interior Ideals. Mathematics, 13(2), 210. https://doi.org/10.3390/math13020210