基本説明
Collects a number of representative methods on sensory evaluation.
Full Description
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
Intelligent Sensory Evaluation: An Introduction.- 1: Basic Issues.- Multidimensional Spaces of Objects and Features towards Intelligent Sensory Fusion.- A Safety-Cost Based Design-Decision Support Framework Using Fuzzy Evidential Reasoning Approach.- Using General Fuzzy Number to Handle Uncertainty and Imprecision in Group Decision-Making.- A Multi-granular Linguistic Decision Model for Evaluating the Quality of Network Services.- From Measurements to Validation — Soft Computing Contributions.- Mechanism of Trust in Panel System.- Evaluating Schedule Performance in Flexible Job-Shops.- 2: Sensory Evaluation Applications.- Formalization of at-line Human Evaluations to Monitor Product Changes during Processing: The Concept of Sensory Indicator.- The Fuzzy Symbolic Approach for the Control of Sensory Properties in Food Processes.- Fuzzy Inference Systems to Model Sensory Evaluation.- A 2-Tuple Fuzzy Linguistic Model for Sensory Fabric Hand Evaluation.- Sensory Evaluation Driven Methodology for Measurement System Design.- Man-Machine Interaction to Extract Features of Odorous Molecules.- Computerized Evaluation of Visual Capability Using Fuzzy Logic and ROC Theory.- Measuring Software Development Value Using Fuzzy Logic.- 3: Related Industrial Applications.- Planning for Sustainability in the Belgian Electricity Sector: A Multi-criteria Mapping Exercise.- Adaptive Modeling and Control of Drug Delivery Systems Using Generalized Fuzzy Neural Networks.- Classification of Breast Cancers Using Dynamic Fuzzy Neural Networks.- Face Recognition Using an RBF Neural Classifier with Hybrid Learning.- Application of Fuzzy-Integration-Based Multiple-Information Aggregation in Automatic Speech Recognition.- Automated Quality Control in Sound Speakers Manufacturing Using a HybridNeuro-Fuzzy-Fractal Approach.- Hardware Implementation of a Fuzzy Controller for the Battery Charging Process in an Industrial Plant.
