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Record W4283830480 · doi:10.18280/mmep.090306

New Class of M-Polar Fuzzy Measure Ideals Algebra in BCK2/BCK1/BCI2

2022· article· en· W4283830480 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

VenueMathematical Modelling and Engineering Problems · 2022
Typearticle
Languageen
FieldDecision Sciences
TopicFuzzy and Soft Set Theory
Canadian institutionsnot available
Fundersnot available
KeywordsMathematicsMeasure (data warehouse)Commutative propertyReciprocalFuzzy logicPolarIdeal (ethics)Algebra over a fieldFractional idealPure mathematicsClass (philosophy)Discrete mathematicsCombinatoricsComputer sciencePhysicsArtificial intelligenceData miningQuantum mechanics

Abstract

fetched live from OpenAlex

In this work, we introduced the concepts of fuzzy measure algebra of the M-polar electrode ambiguous ideals, and many of them have been investigated properties. Characterizations of the blurry M-polar measure sub-algebra and fuzzy (commutative) ideals of polarity are also looked at. Also, the relationships between M-polar fuzzy measure subalgebras, and M-polar ambiguous and ambiguous pole reciprocal ideals have been discussed. A new Concepts suggested here can be expanded to different types of ideals in BCK2, BCK1 and BCI2-algebras, for instance, a-ideal, implicated, n-fold and n-fold ideals, and commutative ideals. Besides, the properties of BCK2 (resp, BCK1 and BCI2) M-polar fuzzy measure algebra are discussed. Finally, the study also investigates the relationships between the mysterious BCK2 (resp, BCK1 and BCI2) M-polar fuzzy measure ideal. Some examples related to it are also given.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.730
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.062
GPT teacher head0.271
Teacher spread0.209 · 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