Computing with Words

Contents

• Computing with Words: Introduction, Implications and Applications (P. Wang).
• From Computing with Numbers to Computing with Words--From Manipulation of Measurements to Manipulation of Perceptions (L. Zadeh).
• Computing with Words: The Problems and Solutions (A. Meystel & P. Wang).
• ISSUES OF COMPUTING WITH WORDS AT LARGE.
• Models and Mechanisms of Thinking: A Multigranular Approach (A. Meystel).
• Granular Relational Computing with Semiotic Descriptors Using BK-Products of Fuzzy Relations (L. Kohout, et al.).
• Computing Granular Word Meanings: A Fuzzy Linguistic Approach in Computational Semiotics (B. Rieger).
• Extracting Information from Text (A. Bagga, et al.).
• Computing with Word and Cognitive Science (B. Juliano).

• Combining Linguistic Information in a Distributed Intelligent Agent Model for Information Gathering on the Internet (M. Delgado, et al.).
• A Behavioral Model for Linguistic Uncertainty (P. Walley & G. De Cooman).

• Applying Modifiers to Knowledge Acquisition (J. Kortelainen).
• Computing with Words and Machine Learning in Medical Diagnostics (H. Becker).
• Numeric Robustness and Linguistic Perspicuity: A Hybrid Approach to Knowledge Acquisition (T. Whalen & G. Gim).
• Computing with Descriptive and Veristic Words: Knowledge Representation and Reasoning (I. Turksen).
• Principles of Words Based Knowledge Representation and Knowledge Processing for CWW (A. Meystel).

• Computing with Words in Intelligent Database Querying: Standalone and Internet-based Applications (J. Kacprzyk & S. Zadrozny).
• Fuzzy Qualitative Reasoning with Words (D. Dubois, etal.).
• Control with Words: The Modular Approach (C. Tseng).
• Prospects for Integrating Analysis of Variance with Soft Computing (V. Niskanen).

• Beyond Process- and Action-Symbols (T. Yang).
• Let Machines Understand Computational Process- and Action-Symbols (T. Yang).