Skip to main content
Log in

Subjective Evaluation of Discomfort in Sitting Positions

  • Published:
Fuzzy Optimization and Decision Making Aims and scope Submit manuscript

Abstract

We study the modelling of the subjective sensation of discomfort for subjects seated during a long time, in terms of local discomforts. The methodology uses fuzzy measures and integrals in a multicriteria decision making process, which enables the modelling of complex interaction between variables. Results of the experiment are detailed, giving models with respect to different kinds of discomfort, and to different macro-zones of the body.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  • Bana e Costa, C. and J. Vansnick. (1994). “A Theoretical Framework for Measuring Attractiveness by a Categorical Based Evaluation TecHnique (MACBETH).” In Proc. XIth Int. Conf. on MultiCriteria Decision Making. Coimbra, Portugal, 15–24.

  • Bana e Costa, C. and J. Vansnick. (1997). “Applications of the MACBETH Approach in the Framework of an Additive Aggregation Model,” J. of Multicriteria Decision Analysis 6, 107–114.

    Google Scholar 

  • Choquet, G. (1953). “Theory of Capacities,” Annales de l'Institut Fourier 5, 131–295.

    Google Scholar 

  • Dubois, D. and H. Prade. (1985). “A Review of Fuzzy Set Aggregation Connectives,” Information Sciences 36, 85–121.

    Google Scholar 

  • Fechner, G. (1860). Elemente der Psychophysik, Breitkopf und Hartel.

  • Grabisch, M. (1995a). “Fuzzy Integral in Multicriteria Decision Making,” Fuzzy Sets & Systems 69, 279–298.

    Google Scholar 

  • Grabisch, M. (1995b). “A New Algorithm for Identifying Fuzzy Measures and its Application to Pattern Recognition.” In Int. Joint Conf. of the 4th IEEE Int. Conf. on Fuzzy Systems and the 2nd Int. Fuzzy Engineering Symposium. Yokohama, Japan, 145–150.

  • Grabisch, M. (ed.). (1997a). Évaluation Subjective – Méthodes, Applications et Enjeux. Les Cahiers des Clubs CRIN.

  • Grabisch, M. (1997b). “k-order Additive Discrete Fuzzy Measures and Their Representation,” Fuzzy Sets and Systems 92, 167–189.

    Google Scholar 

  • Grabisch, M. (2000). “A Graphical Interpretation of the Choquet Integral,” IEEE Tr. on Fuzzy Systems 8, 627–631.

    Google Scholar 

  • Grabisch, M. and M. Roubens. (1997). “An Axiomatic Approach of Interaction in Multicriteria Decision Making.” In 5th Eur. Congr. on Intelligent Techniques and Soft Computing (EUFIT'97). Aachen, Germany, 81–85.

  • Grabisch, M., S. Dia, and C. Labreuche. (2001a). “A Multicriteria Decision Making Framework in Ordinal Context Based on Sugeno Integral.” In Joint 9th IFSA World Congress and 20th NAFIPS Int. Conf. Vancouver, Canada.

  • Grabisch, M., C. Labreuche, and J. Vansnick. (2001b). “Construction of a Decision Model in the Presence of Interacting Criteria.” In FUR X. Torino, Italy.

  • Grabisch, M., C. Labreuche, and J. Vansnick. (to appear). “On the Extension of Pseudo-Boolean Functions for the Aggregation of Interacting Bipolar Criteria,” Eur. J. of Operational Research.

  • Grabisch, M., T. Murofushi, and M. Sugeno. (2000). Fuzzy Measures and Integrals. Theory and Applications (edited volume), Studies in Fuzziness. Physica Verlag.

  • Grabisch, M., H. Nguyen, and E. Walker. (1995). Fundamentals of Uncertainty Calculi, with Applications to Fuzzy Inference, Kluwer Academic.

  • Grabisch, M., S. Orlovski, and R. Yager. (1998). “Fuzzy Aggregation of Numerical Preferences.” In R. Slowiński (ed.), Fuzzy Sets in Decision Analysis, Operations Research and Statistics, The Handbooks of Fuzzy Sets Series, D. Dubois and H. Prade (eds.), Kluwer Academic, 31–68.

  • Keeney, R. and H. Raiffa. (1976). Decision with Multiple Objectives, New York: Wiley.

    Google Scholar 

  • Labreuche, C. and M. Grabisch. (2001). “The Choquet Integral as a Way to Aggregate Scales of Differences in Multicriteria Decision Making.” In EUROFUSE'2001 Workshop on preference modelling and applications. Granada, Spain, 147–152.

  • Miranda, P. and M. Grabisch. (1999). “Optimization Issues for Fuzzy Measures,” Int. J. of Uncertainty, Fuzziness, and Knowledge-Based Systems 7(6), 545–560.

    Google Scholar 

  • Murofushi, T. (1992). “ATechnique for Reading Fuzzy Measures (I): The Shapley Value with Respect to a Fuzzy Measure.” In 2nd Fuzzy Workshop. Nagaoka, Japan, 39–48. In Japanese.

  • Murofushi, T. and S. Soneda. (1993). “Techniques for Reading Fuzzy Measures (III): Interaction Index.” In 9th Fuzzy System Symposium. Sapporo, Japan, 693–696. In Japanese.

  • Orlovski, S. (1994). Calculus of Decomposable Properties, Fuzzy Sets, and Decisions, Allerton Press.

  • Pomerol, J. and S. Barba-Romero. (2000). Multicriterion Decision in Management: Principles and Practice, Kluwer Academic Publishers.

  • Roberts, F. (1979). Measurement Theory, Addison-Wesley.

  • Shapley, L. (1953). “AValue for n-person Games.” In H. Kuhn and A. Tucker (eds.), Contributions to the Theory of Games, Vol. II, No. 28 in Annals of Mathematics Studies. Princeton University Press, 307– 317.

  • Stevens, S. (1957). “On the Psychophysical Law,” Psychol. Rev. 64, 153–181.

    Google Scholar 

  • Stevens, S. (1960). “The Psychophysics of Sensory Function,” Amer. Scientist 48, 226–253.

    Google Scholar 

  • Sugeno, M. (1974). “Theory of Fuzzy Integrals and Its Applications.” Ph.D. thesis, Tokyo Institute of Technology.

  • Yager, R. (1991). “Connectives and Quantifiers in Fuzzy Sets,” Fuzzy Sets & Systems 40, 39–75.

    Google Scholar 

  • Zadeh, L. (1965). “Fuzzy Sets,” Information and Control 8, 338–353.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Grabisch, M., Duchêne, J., Lino, F. et al. Subjective Evaluation of Discomfort in Sitting Positions. Fuzzy Optimization and Decision Making 1, 287–312 (2002). https://doi.org/10.1023/A:1019640913523

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1019640913523

pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy