Intelligent Sensory Evaluation: Methodologies and Applications

Front Cover
Da Ruan, Xianyi Zeng
Springer Science & Business Media, Feb 9, 2004 - Business & Economics - 443 pages

In today's industrial companies, sensory evaluation is widely used in quality inspection of products, in marketing study and in many other fields such as risk evaluation, investment evaluation and safety evaluation. This book collects a number of representative methods on sensory evaluation. The book reports recent research results and provides a state of the art on intelligent techniques-based sensory evaluation in industrial applications. The focus is especially on theoretical/analytical solutions to the problems of real interest in intelligent techniques with applications to engineers and managers of different industrial departments such as production, quality inspection, product design and development and marketing.

 

Contents

An Introduction
1
BASIC ISSUES
11
Multidimensional Spaces of Objects and Features towards Intelligent Sensory Fusion
13
A SafetyCost Based DesignDecision Support Framework Using Fuzzy Evidential Reasoning Approach
31
Using General Fuzzy Number to Handle Uncertainty and Imprecision in Group DecisionMaking
51
A Multigranular Linguistic Decision Model for Evaluating the Quality of Network Services
71
From Measurements to ValidationSoft Computing Contributions
93
Mechanism of Trust in Panel System
115
ManMachine Interaction to Extract Features of Odorous Molecules
255
Computerized Evaluation of Visual Capability Using Fuzzy Logic and ROC Theory
269
Measuring Software Development Value Using Fuzzy Logic
285
RELATED INDUSTRIAL APPLICATIONS
309
A Multicriteria Mapping Exercise
311
Adaptive Modeling and Control of Drug Delivery Systems Using Generalized Fuzzy Neural Networks
327
Classification of Breast Cancers Using Dynamic Fuzzy Neural Networks
347
Face Recognition Using an RBF Neural Classifier with Hybrid Learning
365

Evaluating Schedule Performance in Flexible JobShops
137
Formalization of atline Human Evaluations to Monitor Product Changes during Processing The Concept of Sensory Indicator
157
The Fuzzy Symbolic Approach for the Control of Sensory Properties in Food Processes
175
Fuzzy Inference Systems to Model Sensory Evaluation
197
A 2Tuple Fuzzy Linguistic Model for Sensory Fabric Hand Evaluation
217
Sensory Evaluation Driven Methodology for Measurement System Design
235
Application of FuzzyIntegrationBased MultipleInformation Aggregation in Automatic Speech Recognition
385
Automated Quality Control in Sound Speakers Manufacturing Using a Hybrid NeuroFuzzyFractal Approach
401
Hardware Implementation of a Fuzzy Controller for the Battery Charging Process in an Industrial Plant
419
SUBJECT INDEX
441
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