Intelligent Sensory Evaluation: Methodologies and ApplicationsDa Ruan, Xianyi Zeng 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 |
441 | |
Other editions - View all
Intelligent Sensory Evaluation: Methodologies and Applications Da Ruan,Xianyi Zeng Limited preview - 2013 |
Intelligent Sensory Evaluation: Methodologies and Applications Da Ruan,Xianyi Zeng No preview available - 2010 |
Intelligent Sensory Evaluation: Methodologies and Applications Da Ruan,Xianyi Zeng No preview available - 2014 |
Common terms and phrases
2-tuple adaptive aggregation operator analysis application assessment attribute classifier computing CPLD criteria criterion decision decision tree defined defuzzification degree described design option dimension evidential reasoning approach example expert fabric hand formal Fractal Dimension fuzzy controller fuzzy inference fuzzy linguistic fuzzy logic fuzzy measure fuzzy neural fuzzy number fuzzy rules fuzzy set fuzzy set theory fuzzy symbolic approach fuzzy system G-FNN genetic algorithms given hand evaluation human IEEE IEEE Trans input variable interaction knowledge linear linguistic information linguistic term sets linguistic variables measurement theory membership functions method objective obtained optimal output panel parameters performance preferred probability problem proposed relation rule base safety samples scale scores seat selection sensory analysis sensory data sensory evaluation sensory features sensory indicators Sets and Systems software development space structure subset Table techniques theory tion trust type-2 fuzzy uncertainty vector weight Zadeh