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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Fuzzy Logic and Control Systems
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

637 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
637 works in the cohort · of 4,299,418page 1 of 13

Labels cover 1 of 637 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 637 of 637 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Advances in Type-2 Fuzzy Sets and Systems
Alireza Sadeghian, Jerry M. Mendel, Hooman Tahayori
2013· book· en· Studies in fuzziness and soft computing· Computer Science
machine prediction:candidate · noneconsensus · none
497
citations
affno abstractunlabeled
Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems
Μ.Μ. Gupta, Jerzy B. Kiszka
2003· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
166
citations
affunlabeled
Toward complex fuzzy logic
Scott Dick
2005· article· en· IEEE Transactions on Fuzzy Systems· Computer Science
machine prediction:candidate · noneconsensus · none
161
citations
affunlabeled
Type-2 Fuzzy Logic: Theory and Applications
Oscar Castillo, Patricia Melín, Janusz Kacprzyk, Witold Pedrycz
2007· article· en· 2007 IEEE International Conference on Granular Computing (GRC 2007)· Computer Science
machine prediction:candidate · noneconsensus · none
139
citations
affunlabeled
Type-2 Fuzzy Logic: Theory and Applications
Oscar Castillo, Patricia Melín, Janusz Kacprzyk, Witold Pedrycz
2007· article· en· 2007 IEEE International Conference on Granular Computing (GRC 2007)· Computer Science
machine prediction:candidate · noneconsensus · none
104
citations
affunlabeled
Stability analysis of type-2 fuzzy systems
Mohammad Biglar Begian, William Melek, Jerry M. Mendel
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
101
citations
affunlabeled
Intelligent Control
Clarence W. de Silva
2018· book· en· Computer Science
machine prediction:candidate · noneconsensus · none
93
citations
affunlabeled
Model-based fuzzy control results for networked control systems
Radu‐Emil Precup, Ștefan Preitl, Emil M. Petriu, Claudia‐Adina Bojan‐Dragos, Alexandra-Iulia Szedlak-Stinean, Raul‐Cristian Roman +1 more
2020· article· en· Reports in Mechanical Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
92
citations
affunlabeled
Review of Recent Type-2 Fuzzy Controller Applications
Kevin Tai, Abdulrahman M. El‐Sayed, Mohammad Biglarbegian, Claudia I. González, Oscar Castillo, Shohel Mahmud
2016· article· en· Algorithms· Computer Science
machine prediction:candidate · noneconsensus · none
91
citations
affno abstractunlabeled
Fuzzy functions with support vector machines
Aslı Çelikyılmaz, İ.B. Türkşen
2007· article· en· Information Sciences· Computer Science
machine prediction:candidate · noneconsensus · none
87
citations
affunlabeled
Two-level tuning of fuzzy PID controllers
George K. I. Mann, Bao-Gang Hu, Raymond G. Gosine
2001· article· en· IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)· Computer Science
machine prediction:candidate · noneconsensus · none
81
citations
affunlabeled
C–Fuzzy Decision Trees
Witold Pedrycz, Zenon A. Sosnowski
2005· article· en· IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)· Computer Science
machine prediction:candidate · noneconsensus · none
81
citations
affunlabeled
The Development of Incremental Models
Witold Pedrycz, Keun-Chang Kwak
2007· article· en· IEEE Transactions on Fuzzy Systems· Computer Science
machine prediction:candidate · noneconsensus · none
80
citations
affno abstractunlabeled
Neural Networks and Fuzzy Systems
Petr Musı́lek, Madan M. Gupta
2000· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
77
citations
affunlabeled
Fast fuzzy edge detection
Hamid R. Tizhoosh
2003· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
72
citations
affunlabeled
Fuzzy logic applications
Gordon L. Hayward, Valerie Davidson
2003· article· en· The Analyst· Computer Science
machine prediction:candidate · noneconsensus · none
71
citations

How this was built: Screen · Findings · About