Rough sets and current trends in computing by Shusaku Tsumoto, Roman Slowinski, Jan Komoroski, Jerzy W. Grzymala- Busse (Eds.), Lecture Notes in Artificial Intelligence (LNAI), 3066(1), 26-37.Inuiguchi M. Generalizations of rough sets: from crisp to fuzzy cases[M][A]. In: Tsumoto S...
July 1, 2020—Elucid Bio, manufacturer of the vascuCAP software, announced that its artificial intelligence (AI) technology demonstrated > 70% improvement in the accuracy of stroke prediction compared with a stenosis-based approach to risk-stratification during a 6-year period in the...
Relations between elements of two sets are part of social and economic life, and business activity. An important objective is to understand the nature and content of these relations. The classical studies based on Boolean logic only consider the presence or absence of relation. This concept can ...
So, to deal with such irregularities, in this paper, we consider the payoffs of a bimatrix game in the form of dense fuzzy lock sets. Initially, ... S Karmakar,MR Seikh - 《Artificial Intelligence Review An International Science & Engineering Journal》 被引量: 0发表: 2023年 加载更多来源...
Part of the book series: The Handbooks of Fuzzy Sets Series ((FSHS,volume 6)) 881 Accesses 17 Citations Abstract We survey some of the main Crisp and Fuzzy (Computational) Intelligence works, which have been developed for the solution of the real world production planning and scheduling prob...
Fuzzy inference systems emerged as a machine learning model that provides accurate and explainable results. Two fuzzy inference systems are reported in the literature, Mamdani and Takagi–Sugeno–Kang. Mamdani implements fuzzy sets in the consequent part and provides more explainable results. On the ot...
, Lecture Notes in Artificial Intelligence (LNAI), 3066(1), 26-37.Inuiguchi, M. (2004) Generalization of rough sets: From crisp to fuzzy cases. Lect. Notes Artif. Intell. 3066: pp. 26-37Inuiguchi M.Generalizations of rough sets:from crisp to fuzzy cases[A].Tsumoto S,Slowinski R,...
Models for Inexact Reasoning Fuzzy Logic – Lesson 1 Crisp and Fuzzy SetsMaster in Computational Logic Department of Artificial IntelligenceOrigins and Evolution of Fuzzy Logic• Origin: Fuzzy Sets Theory (Zadeh, 1965) • Aim: Represent vagueness and impre-cission of statements in natural ...
Cite this chapter Coppola, C., Gerla, G., Pacelli, T. (2008). Similarities for Crisp and Fuzzy Probabilistic Expert Systems. In: Bello, R., Falcón, R., Pedrycz, W., Kacprzyk, J. (eds) Granular Computing: At the Junction of Rough Sets and Fuzzy Sets. Studies in Fuzziness and Soft...
The clusters and associations in phone call mining do not necessarily have crisp boundaries. Researchers have studied the possibility of using fuzzy sets in clustering of web resources. The issues from web mining are further compounded due to multi-modal communication in the mobile world. This ...