The Potential of Fuzzy in Explainable AI 报告摘要: Artificial intelligence methods for decision support are attracting widespread attention around the world. In this talk, I will explain some fundamentals of fuzzy sets and systems, with particu...
Digital Society (2023) 2:3 https://doi.org/10.1007/s44206-022-00032-0 ORIGINAL PAPER Vagueness in Artificial Intelligence: The 'Fuzzy Logic' of AI‑Related Patent Claims Rebeca Ferrero Guillén1,2 · Altair Breckwoldt Jurado3 Received: 28 February 2022 / Accepted: 29 ...
In the current research paper a novel hybrid model combining first-principle and artificial intelligence (AI) was developed for simulation of a chemical reactor. We study a 2-dimensional reactor with heating sources inside it by using computational fluid
ELI5: This extension wraps your model's context in a virtual context of unlimited size - think like a swapfile or pagefile The PR has only a naive method for non-instruct and instruct. Using the base, more sophisticated retrievers and chunking logic could be added in to yield substantially...
It is easy to check that the union of connected fuzzy sets such that their non empty α-cuts intersect is connected in the sense of Definition 2. This overlap mapping was extended in [5] to the following family: ⊥1τ ({A˜i}) = 1 if ∀α ≤τ, 0 otherwise i{(μAi )α |...
In Equation (1), and a, b and c are the lower, modal and upper values of the TFN ‘Q’ respectively. It is worthwhile to know that the sets of sub-features allotted to the design features have different values depending on the number of sub-features that can be categorized under the...
In order to demonstrate the effectiveness of AIBFC for clustering data of complex structure, we provide a comparative evaluation of benchmark data sets in Section 5. In Section 6, we describe the background on the design of assistive software for the disabled and then present the icon ...
In this mechanism, the anomaly detector utilizes fuzzy rules set to differentiate data units as normality or anomalies. While supervising the WSN, these fuzzy rules sets are chosen appropriately and employed to the supervised data. If the fuzzy rules are satisfied in determining, an anomaly is ...
In addition, beliefs between the assessor and the assessed can change the understanding of skills, such as good communication or teamwork, which vary according to situations and contexts, further characterizing the Soft Skills assessment with fuzziness (Gibb, 2014). The membership sets implemented by...
Mandal WA (2021) Bipolar pythagorean fuzzy sets and their application in multi-attribute decision making problems. Ann Data Sci. https://doi.org/10.1007/s40745-020-00315-8 41. Das SK (2020) Multi item inventory model include lead time with demand dependent production cost and set-up-cost ...