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Sensory Evaluation

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Title: Sensory Evaluation


1
Sensory Evaluation
  • Decision Making processes
  • based on Sensory Evaluation

Luis Martínez López Computer Sciences Dpt..
University of Jaén Email martin_at_ujaen.es Website
http//wwwdi.ujaen.es/martin
2
INDEX
3
INDEX
  • SENSORY EVALUATION
  • DECISION MAKING
  • BASED ON SENSORY EVALUATION
  • APPLICATION
  • TEXTILE PRODUCTS
  • CONCLUSIONS

4
SENSORY EVALUATION
5
SENSORY EVALUATION
  • Evaluation of Signals
  • Sight
  • Smell
  • Taste
  • Touch
  • Hearing
  • Mind filters and makes concious the signals and
    forms perceptions

6
SENSORY EVALUATION
  • In some aspects human senses are still superior
    to many artificial devices.
  • Business, Industry
  • Human operators vs artificial devices
  • Quality control
  • Hazard detection
  • Collision Prevention
  • Etc.

7
SENSORY EVALUATION
  • Human Perceptions
  • Operational tasks (not only)
  • Consensus in groups
  • Designing products
  • Deriving stimates
  • Decision models
  • Etc.

8
SENSORY EVALUATION
  • Dealing with human perceptions
  • In the past
  • Statistical Methods
  • Dont work too well
  • Implies independence minimal sample size
  • Not Satisfied in real situation
  • Perceptional uncertainty cannot be modelled this
    way

9
SENSORY EVALUATION
  • Dealing with human perceptions
  • Recently
  • Intelligent Methods
  • Fuzzy Technology
  • Neural Nets
  • Evolutionary Computing
  • They allow to model mathematically perceptions

10
SENSORY EVALUATION
  • APPLICATIONS
  • Quality Inspection of products
  • Risk evaluation
  • Safety Evaluation
  • Investment evaluation
  • Marketing Study

11
SENSORY EVALUATION
  • COMMON FRAMEWORK
  • Sensory panel
  • Group of individuals
  • Evaluating a number of samples
  • Each panellist
  • Provides a score for each evaluated descriptor
  • Information modelling
  • Numerical
  • Linguistic

12
SENSORY EVALUATION
  • USEFULNESS
  • Quality Inspection
  • Characteristics
  • Foods
  • Textile products
  • Chemical products
  • Cosmetic products
  • Trained expert panel sistematically determined
  • Results
  • New products can be designed integrating the data

13
SENSORY EVALUATION
  • LOOKING FOR
  • MATHEMATICAL FORMULATION
  • EFFICIENT WORKING PROCEDURE
  • PERTINENT COMPUTING METHOD
  • EVALUATION SCORES
  • DIFFERENT DOMAINS (DIFFERENT BACKGROUND)
  • CLASSICAL METHODS
  • LOST INFORMATION

14
SENSORY EVALUATION
  • BIBLIOGRAPHY
  • Intelligent Sensory EvaluationMethodologies and
    ApplicationsRuan, Da Zeng, Xianyi (Eds.) 2004,
    XIII, 443 p. 129 illus., Hardcover
  • Zeng X, Koehl L, Sanoun M, et al.Integration of
    human knowledge and measured data for
    optimization of fabric hand INTERNATIONAL
    JOURNAL OF GENERAL SYSTEMS 33 (2-3) 243-258
    APR-JUN 2004

15
DECISION MAKING
16
DECISION MAKING BASED ON SENSORY EVALUATION
  • EVALUATION PROCESS
  • DECISION MAKING
  • ELEMENTS
  • PANEL
  • MULTIPLE EXPERTS
  • MULTIPLE CRITERIA
  • SCORES
  • UNCERTAINTY (PERCEPTIONS)
  • PREFERENCE MODELLING DIFFERENT

17
DECISION MAKING BASED ON SENSORY EVALUATION
  • FRAMEWORK
  • MEMC-DM
  • CONTEXT (UNCERTAINTY)
  • NUMERICAL
  • LINGUISTIC
  • DECISION PROCESS
  • AGGREGATION
  • EXPLOITATION EVALUATION gt RANKING

18
DECISION MAKING BASED ON SENSORY EVALUATION
  • DECISION PROCESS
  • AGGREGATION
  • EXPLOITATION
  • OVERALL VALUE
  • RANKING

19
SENSORY EVALUATION
  • BIBLIOGRAPHY
  • F. Herrera, L. Martínez. P.J. Sánchez. Managing
    non-homogeneous information in group decision
    making. European Journal of Operational Research
    1661(2005) pp. 115-132
  • L. Martínez, J. Liu, J.B. Yang,F. Herrera, A
    Multi-Granular Hierarchical Linguistic Model for
    Design Evaluation Based on Safety and Cost
    Analysis. International Journal of Intelligent
    Systems. 2005, Vol 20, Issue 12, pp.1161-1194.

20
APPLICATION
21
APPLICATION EVALUATING TEXTILE PRODUCTS
  • PROJECT
  • FUZZY QUALITY EVALUATION APPLIED TO TEXTILE
    PRODUCTS
  • UE EQUAL
  • WEBSITE
  • http//wwwdi.ujaen.es/martin/scv/equal/principal.
    html

22
APPLICATION EVALUATING TEXTILE PRODUCTS
  • PANEL
  • MULTIPLE EXPERTS
  • MULTIPLE CRITERIA
  • NUMERICAL
  • CRISP
  • INTERVALS
  • LINGUISTIC

23
APPLICATION EVALUATING TEXTILE PRODUCTS
  • FRAMEWORK
  • r paneles
  • h(i) individuos
  • conjuntos de términos
    lingüísticos
  • conjunto de n muestras a
    ser evaluadas
  • vector de utilidad para
    cada muestra

24
APPLICATION EVALUATING TEXTILE PRODUCTS
  • EVALUATION SYSTEM

25
APPLICATION EVALUATING TEXTILE PRODUCTS
  • EVALUATION SYSTEM
  • Prototype v 1.0

26
APPLICATION EVALUATING TEXTILE PRODUCTS
  • EVALUATION SYSTEM
  • Prototype v 1.0 Crear Encuesta

27
APPLICATION EVALUATING TEXTILE PRODUCTS
  • EVALUATION SYSTEM
  • Prototype v 1.0 Definir dominio de información

28
APPLICATION EVALUATING TEXTILE PRODUCTS
  • EVALUATION SYSTEM
  • Prototype v 1.0 Rellenar Encuestas

29
APPLICATION EVALUATING TEXTILE PRODUCTS
  • EVALUATION SYSTEM
  • Prototype v 1.0 Resultados

30
CONCLUSIONS
31
CONCLUSIONS
  • SENSORY EVALUATION
  • DIFFICULTIES
  • UNCERTAINTY
  • DIFFERENT TYPE OF INFORMATION
  • NECESSITIES
  • MATHEMATICAL FORMULATION
  • EFFICIENT WORKING PROCEDURE
  • PERTINENT COMPUTING METHODS
  • IMPROVEMENTS
  • FUZZY TOOLS
  • APPLICATIONS
  • QUESTIONNARIE
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