Circular Intuitionistic Fuzzy Median Ranking Model with a Novel Scoring Mechanism for Multiple Criteria Decision Analytics

Applied Artificial Intelligence, Journal Year: 2024, Volume and Issue: 38(1)

Published: April 1, 2024

This study aims to pioneer an innovative circular intuitionistic fuzzy (C-IF) scoring-mediated median ranking model designed for multiple criteria decision analytics. The primary goal is establish a comprehensive precedence competing alternatives, effectively addressing the inherent uncertainties present in decision-analytic challenges within C-IF environment. core content delves into creation of original scoring mechanism tailored navigate complexities uncertainties. Moreover, research introduces specialized analytics, leveraging foundational concept mechanism. A significant contribution made through formulation robust implementation procedure, specifically seamless operation framework information. Drawing from suggested mechanism, this novel concepts related functions and disagreement metrics. Subsequently, matrix formulated, with its entries quantifying extent assigning specific ranks each alternative across all criterion-wise relationships. paves way development new model, offering analysts tool intricate information derive dependable outcomes.

Language: Английский

Proposal and Verification of the Application of an Expert Inference Method to Present the Probability of Lithium-Ion Battery Thermal Runaway Risk

Energies, Journal Year: 2024, Volume and Issue: 17(11), P. 2566 - 2566

Published: May 26, 2024

This study proposes a probabilistic quantification technique that applies an expert inference method to warn of the risk fire developing into thermal runaway when lithium-ion battery occurs. Existing methods have shortcomings low prediction accuracy and delayed responses because they determine only by detecting temperature rise smoke in initiate extinguishing activities. To overcome such shortcomings, this probabilistically calculate advance amount off-gases generated venting stage before begins. has advantage quantifying probability applying based on combination off-gas amounts, while maintaining high reliability even sensor fails. verify validity design, problems with increase/decrease data were derived under four SOC conditions actual batteries. Through foregoing, it was confirmed can be accurately presented situations where detection malfunctions complexly. Additionally, proposed is lead quicker fires.

Language: Английский

Pentagonal Fuzzy Numbers using Fuzzy Linear Regression Model

Published: Sept. 18, 2024