Home // FUTURE COMPUTING 2024, The Sixteenth International Conference on Future Computational Technologies and Applications // View article
Authors:
Steve Chan
Keywords: Computational Intelligence Strategies; Future Computational Technologies; Artificial Intelligence; High Dimensional Data; Isomorphic Comparator; Information Fusion; Dynamic Systems; Dynamic Fuzzy List.
Abstract:
Dynamic Real World Systems (RWS) must contend with the temporal dimension relating to the membership function and the associated RWS phenomenon of uncertainty. This problem is particularly interesting because it currently constitutes an impediment to robust Information Fusion (IF). There is a need for a more capable mechanism, pertaining to the aforementioned, for IF, forecasting, and decision-making, and central to this is the Dynamic Fuzzy List (DFL). Historically, a variety of foundational theories and works have been considered, but ascertaining the extent of affinity, within an acceptable performance time frame, has been an ongoing challenge within High Dimensional Data (HDD). This paper explored a prospective HDD-centric triumvirate amalgam consisting of: (1) an Adaptive Criteria Weighting Methodology (ACWM) to derive entropy weights, (2) an Isomorphic Comparator Similarity Measure (ICSM) to gauge similitude, via the discernment of Very Small/Non-Obvious (VSNO) clusters in HDD, and (3) apropos HDD-centric Cluster Validity Index (CVI) Measures (HCM) that are data uncertainty-centric to address the discussed need. The main output of this paper is that of an ACWM-ICSM-HCM triumvirate approach, as a contribution to the DFL challenge — and the overarching complex problem of risk-prediction-decision in advanced Artificial Intelligence (AI)/Machine Learning (ML) systems —by addressing a thematic that is crucial for IF in dynamic RWS and well warrants further investigation.
Pages: 8 to 17
Copyright: Copyright (c) IARIA, 2024
Publication date: April 14, 2024
Published in: conference
ISSN: 2308-3735
ISBN: 978-1-68558-160-2
Location: Venice, Italy
Dates: from April 14, 2024 to April 18, 2024