Computational learning theory: survey and selected bibliography
STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
Fuzzy set theory: foundations and applications
Fuzzy set theory: foundations and applications
Computational intelligence: a logical approach
Computational intelligence: a logical approach
Artificial intelligence: a new synthesis
Artificial intelligence: a new synthesis
Computational Intelligence: An Introduction
Computational Intelligence: An Introduction
Machine Learning
Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems: Selected Papers by Lotfi A. Zadeh
Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems: Selected Papers by Lotfi A. Zadeh
Fuzzy Sets Engineering
Conditional Inference and Logic for Intelligent Systems: A Theory of Measure-Free Conditioning
Conditional Inference and Logic for Intelligent Systems: A Theory of Measure-Free Conditioning
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Circular Coinductive Rewriting
ASE '00 Proceedings of the 15th IEEE international conference on Automated software engineering
Reasoning about Uncertainty
Information Theory, Inference & Learning Algorithms
Information Theory, Inference & Learning Algorithms
Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th Edition)
Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th Edition)
Machines Who Think: A Personal Inquiry into the History and Prospects of Artificial Intelligence
Machines Who Think: A Personal Inquiry into the History and Prospects of Artificial Intelligence
Formalized theory of general fuzzy reasoning
Information Sciences—Informatics and Computer Science: An International Journal
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
On some new classes of implication operators and their role in approximate reasoning
Information Sciences—Informatics and Computer Science: An International Journal
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning (Studies in Computational Intelligence)
Unified forms of fully implicational restriction methods for fuzzy reasoning
Information Sciences: an International Journal
Computing with words and its relationships with fuzzistics
Information Sciences: an International Journal
Computational Neurogenetic Modeling
Computational Neurogenetic Modeling
Information Sciences: an International Journal
Classification and query evaluation using modelling with words
Information Sciences: an International Journal
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Systemic approach to fuzzy logic formalization for approximate reasoning
Information Sciences: an International Journal
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This paper presents an information theory that is based on meanings and relationships between information. It first introduces the foundation of our approach, a binary relation contain between two pieces of information, based on inference between the two pieces of information. Then, based on the contain relation, it introduces two basic operations union and intersection on a collection (i.e., set) of information. This paper lays the foundation of our approach by introducing the core concept, informalogical space. An informalogical space is a collection of information that satisfies certain conditions represented in terms of the contain relation, and the union and intersection operations. An informalogical space is similar to a topological space in a symbolic sense, but is different in nature. This paper also introduces an information net in an informalogical space. An information net is a generalization of information sequence, just as a net is a generalization of sequence in general topology. This paper builds a convergence theory for information nets that is similar in a symbolic sense to the Moore-Smith convergence theory in general topology. Then, this paper applies the results for information nets to information sequences.