Interactive Decision Aids

Interactive Decision Aids
Author: Nina Mazar
Publisher: Springer Science & Business Media
Total Pages: 148
Release: 2012-12-06
Genre: Business & Economics
ISBN: 3322816796

Nina Mazar examines the effects of an interactive tool that can tailor information extremely fast: the interactive comparison matrix (CM). It provides product related information in a 'product by attribute' matrix and allows products to be sorted by any attribute. The author shows that the interactive CM has the potential to represent a useful and practicable solution matching the needs of both consumers and online retailers.

Fuzzy Sets Methods in Image Processing and Understanding

Fuzzy Sets Methods in Image Processing and Understanding
Author: Isabelle Bloch
Publisher: Springer Nature
Total Pages: 311
Release: 2023-01-01
Genre: Medical
ISBN: 303119425X

This book provides a thorough overview of recent methods using higher level information (object or scene level) for advanced tasks such as image understanding along with their applications to medical images. Advanced methods for fuzzy image processing and understanding are presented, including fuzzy spatial objects, geometry and topology, mathematical morphology, machine learning, verbal descriptions of image content, fusion, spatial relations, and structural representations. For each methodological aspect covered, illustrations from the medical imaging domain are provided. This is an ideal book for graduate students and researchers in the field of medical image processing.

Selected Papers on Sensor and Data Fusion

Selected Papers on Sensor and Data Fusion
Author: Firooz A. Sadjadi
Publisher: SPIE-International Society for Optical Engineering
Total Pages: 636
Release: 1996
Genre: Computers
ISBN:

This text presents papers covering issues in the field of sensor and data fusion. Topics include: classifier integration with multiple sensors; combining uncertain messages using belief functions; decentralized sequential detection; and fusion, propagation, and structuring belief networks.

The Multi-Criteria Approach for Decision Support

The Multi-Criteria Approach for Decision Support
Author: Lotfi Azzabi
Publisher: Springer Nature
Total Pages: 92
Release: 2020-09-11
Genre: Business & Economics
ISBN: 3030572625

This book presents the multi-criteria approach to decision support, as well as the various multi-criteria tools to help avoid multi-objective optimization. The book is intended as a tool for understanding the multi-criteria tools for decision support and modeling in mathematical programming. It helps to structure models, to easily model complex constraints, to have a basic modeling guide for any multi-criteria system and to better understand models already existing in the literature. The book is structured in the same order as components of the methodology, established in a multi-criteria optimization problem. It introduces the elements of the actors, the decision-making activity under criteria, calculations, specifications and objective criterion.

Bayesian Networks and Decision Graphs

Bayesian Networks and Decision Graphs
Author: Thomas Dyhre Nielsen
Publisher: Springer Science & Business Media
Total Pages: 279
Release: 2013-06-29
Genre: Mathematics
ISBN: 1475735022

Bayesian networks and decision graphs are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty. Their strengths are two-sided. It is easy for humans to construct and understand them, and when communicated to a computer, they can easily be compiled. The book emphasizes both the human and the computer side. It gives a thorough introduction to Bayesian networks, decision trees and influence diagrams as well as algorithms and complexity issues.

Foundations of Intelligent Systems

Foundations of Intelligent Systems
Author: Zbigniew W. Ras
Publisher: Springer Science & Business Media
Total Pages: 648
Release: 1997-09-29
Genre: Computers
ISBN: 9783540636144

This book constitutes the refereed proceedings of the 10th International Symposium on Methodologies for Intelligent Systems, ISMIS'97, held in Charlotte, NC, USA, in October 1997. The 57 revised full papers were selected from a total of 117 submissions. Also included are four invited papers. Among the topics covered are intelligent information systems, approximate reasoning, evolutionary computation, knowledge representation and integration, learning and knowledge discovery, AI-Logics, discovery systems, data mining, query processing, etc.