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APA4ort.xyz Knowledge Graph. (2026). Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an<i>n</i>-Ary Aggregation Function. Retrieved May 24, 2026, from https://4ort.xyz/entity/parametric-conditions-for-a-monotone-tsk-fuzzy-inference-system-to-be-an-i-n-i-ary-aggregation-function
MLA“Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an<i>n</i>-Ary Aggregation Function.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/parametric-conditions-for-a-monotone-tsk-fuzzy-inference-system-to-be-an-i-n-i-ary-aggregation-function.
BibTeX@misc{4ortxyz_parametric-conditions-for-a-monotone-tsk-fuzzy-inference-system-to-be-an-i-n-i-ary-aggregation-function_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an<i>n</i>-Ary Aggregation Function}}, year = {2026}, url = {https://4ort.xyz/entity/parametric-conditions-for-a-monotone-tsk-fuzzy-inference-system-to-be-an-i-n-i-ary-aggregation-function}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an<i>n</i>-Ary Aggregation Function — https://4ort.xyz/entity/parametric-conditions-for-a-monotone-tsk-fuzzy-inference-system-to-be-an-i-n-i-ary-aggregation-function (retrieved 2026-05-24)