Flexible Query Answering Systems, Softcover reprint of the original 1st ed. 1997

Flexible Query Answering Systems is an edited collection of contributed chapters. It focuses on developing computer systems capable of transforming a query into an answer with useful information. The emphasis is on problems associated with high-level intelligent answering systems.
The coverage is multidisciplinary with chapters by authors from information science, logic, fuzzy systems, databases, artificial intelligence and knowledge representation. Each contribution represents a theory involving flexibility in query-answering, and each addresses specific answering problems. Coverage includes topics such as fuzzy sets in flexible querying, non-standard database interactions, metareasoning and agents, and many others.
Contributions for this volume were written by leading researchers from their respective subject areas, including Patrick Bosc, Bernadette Bouchon-Meunier, Amihai Motro, Henri Prade and Ron Yager, among others.
Flexible Query Answering Systems is a timely contribution for researchers working on high-level query mechanism systems.

1. Not All Answers are Equally Good: Estimating the Quality of Database Answers; A. Motro, I. Rakov. 2. Fuzzy Query Language for Hypothesis Evaluation; D. Rasmussen, R.R. Yager. 3. Using Fuzzy Sets in Flexible Querying: Why and How? D. Dubois, H. Prade. 4. Nonstandard Database Interaction from Metalogic Programming; T. Andreasen, H. Christansen. 5. A Fuzzy Deductive Relational Database; O. Pons, et al. 6. Metareasoning Agents for Query-Answering Systems; J. Barklund, et al. 7. Fuzzy Querying in a Concept Object Algebraic Datamodel; H.L. Larsen, J.F. Nilsson. 8. Flexible Query-Answering in a Group of Databases; L. Chalvy. 9. Fuzzy Time Indications in Natural Languages Interfaces; R. de Caluwe, et al. 10. Fuzzy Queries against Regular and Fuzzy Databases; P. Bosc, O. Pivert 11. Answering Queries About Validity and Completeness of Data: From Modal Logic to Relational Algebra; R. Demolombe. 12. Constructing Aggregation Functions Using Fuzzy Modeling; R.R. Yager. 13. Flexible Using Fuzzy Logic: An Implementation for Microsoft Access; J. Kacprzyk, S. Zadvo. 14. Fuzzy Decision Trees and Databases; B. Bouchon-Meunier, C. Marsala. Index.

Flexible Query Answering Systems is an edited collection of contributed chapters. It focuses on developing computer systems capable of transforming a query into an answer with useful information. The emphasis is on problems associated with high-level intelligent answering systems. The coverage is multidisciplinary with chapters by authors from information science, logic, fuzzy systems, databases, artificial intelligence and knowledge representation. Each contribution represents a theory involving flexibility in query-answering, and each addresses specific answering problems. Coverage includes topics such as fuzzy sets in flexible querying, non-standard database interactions, metareasoning and agents, and many others. Contributions for this volume were written by leading researchers from