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On Hesitant Fuzzy Subalgebraic Systems in IUP-Algebras

2025· article· W4416785441 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Analysis and Applications · 2025
Typearticle
Language
FieldDecision Sciences
TopicFuzzy and Soft Set Theory
Canadian institutionsnot available
FundersThailand Science Research and InnovationUniversity of Phayao
KeywordsCounterexampleGeneralizationFuzzy logicFuzzy set operationsHierarchyType-2 fuzzy sets and systemsFuzzy setClass (philosophy)

Abstract

fetched live from OpenAlex

We introduce hesitant fuzzy sets of algebraic structures in IUP-algebras, including hesitant fuzzy IUP-subalgebras, IUP-filters, IUP-ideals, and strong IUP-ideals. These notions are defined via relaxed set-theoretic and algebraic conditions suitable for hesitant fuzzy membership functions. Their mutual relationships are analyzed, showing how they extend and unify prior definitions in the UP-algebraic setting. Several examples and counterexamples are provided to illustrate essential differences between these classes and to demonstrate that each concept is a proper generalization of its classical or fuzzy counterpart. A diagram of class inclusions is also presented to visualize the structural hierarchy among these hesitant fuzzy sets.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score0.803

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.348
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it