Abstract
A succession of three man-machine interactive decision aids is presented with increasing user-friendliness what the communication between the decision maker and the respective programs is concerned. This increase in user-friendliness is not brought about on the account of other useful features of the decision aids, such as ease in finding the optimal solutions, fidelity in modelling the conflict between various objectives, confidence in the solutions obtained and efficience of the decision maker’s participation. Indeed, all the three decision aids continue to exhibit the later four features more or less to the same extent.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
EVERITT, B.: Cluster Analysis ( Second Ed. ), Halsted, London, 1980.
FRANK, M., WOLFE, P.: An Algorithm for Quadratic Programming. Naval Research Logistic Quarterly, 3, 1956, 95–110.
GEOFFRION, A.M., DYER, J.S., FEINBERG, A.: An Interactive Approach for Multicriterion Optimization with an Application to the Operation of an Academic Department. Management Sci., 19, 1972, 357–368.
GERSHON, M., DUCKSTEIN, L.: An Algorithm for Choosing of a Multiobjec-tive Technique. Paper presented at the Fifth International Conference of Multiple Criteria Decision Making, Mons, Belgium, August 1982.
GORDON, A.D.: Classification Methods for the Exploratory Analysis of Multivariate Data. Chapman and Hall, London, 1981.
GRUBER, J.: Introduction: Towards Observed Preferences in Econometric Decision Models. In J. Gruber (Ed): Econometric Decision Models. Springer Lecture Notes in Economics and Mathematical Systems, vol. 208, 1983, pp 1–9.
HWANG, C.L., YOON, K.: Multiple Attribute Decision Making, Methods and Applications, A State of the Art Survey. Lecture Notes in Economics and Mathematical Systems, vol. 186, Springer, New York, 1981.
KENDALL, D.G.: The Recovery of Structure from Fragmentary Information, Phil. Trans. Royal Soc., A279, 1975, 547–582.
KRUSKALL, J.B.: Multidimensional Scaling by Optimizing a Goodness of Fit to a Nonmetric Hypothesis. Psychometrica, 29, 1964, 1–27.
KRUSKALL, J.B.: Nonmetric Multidimensional Scaling: A Numerical Method. Psychometricâ, 29, 1964, 115–129.
MOND, B., ROSINGEÀ, E.E.: Interacting Weights in Multiple Attribute Decision Making. Submitted for publication.
MOND, B., ROSINGER, E.E.: Multiple Attribute Decision Making: A Linear Programming Approach. Submitted for publication.
MOND, B., ROSINGER, E.E.: Multiple Criteria Decision Making: A Clustering Technique Approach. Submitted for publication.
RIVETT, P.: The Use of Local-Global Mapping Techniques in Analysing Multi Criteria Decision Making. In: Fanded, G., Gal, J. (Eds.), Multiple Criteria Decision Making: Theory and Applications. Lecture Notes in Economics and Mathematical Systems, vol. 177, Springer, New York, 1980.
ROSINGER, E.E.: Interactive Algorithm for Multiobjective Optimization (extended abstract) In: Fanded, G., Gal, J. (Eds.): Multiple Criteria Decision Making: Theory and Applications, Lecture Notes in Economics and Mathematical Systems, vol. 177, Springer, New York, 1980.
ROSINGER, E.E.: Interactive Algorithm for Multiobjective Optimization. JOTA, 35,3, 1981,339–365. Errata Corrige, JOTA, 38,1, 1982, 147–148.
ROY, B.: Partial Preference Analysis and Decision Aid: The Fuzzy Outranking Relation Concept. In: Bell, D.E., Keeney, R.L., Raifa, H. (Eds.): Conflicting Objectives in Decisions. J. Wiley, New York, 1977.
ROY, G.G.: The Use of Multidimensional Scaling in Policy Selection. J. Oper. Res. Soc., 33, 1982, 239–245.
SAATY, T.L.: A Scaling Method for Priorities in Hierarchical Structures. J. of Math. Psychology, 15,3, 1977, 234–281.
SAATY, T.L.: Ratio Measurement, Intangibles and Complexity in Systems. Paper presented at the Fifth International Conference on Multiple Criteria Decision Making, Mons, Belgium, August 1982.
SCHIFFMAN, S.S., REYNOLDS, M.L., YOUNG, F.W.: Introduction to Multidimensional Scaling: Theory, Methods and Applications. Acad. Press, New York, 1981.
SPATH, H.: Cluster Analysis Algorithsm for Data Reduction and Classification of Objects. J. Wiley, New York, 1980.
SPRONK, J.: Interactive Multiple Goal Programming, Applications to Financial Planning. Nijhoff Boston, 1981.
STREUFF, H., GRUBER, J.: The Interactive Multiobjective Optimization Method by E.E. Rosinger: A Computer Program and Aspects of Applications. In J. Gruber (Ed): Econometric Decision Models. Springer Lecture Notes in Economics and Mathematical Systems, vol. 208, 1983, pp. 334–364.
WALLENIUS, H.: Optimizing Macroeconomic Policy: A Review of Approaches and applications. European J. Oper. Res., 10, 1982, 221–228.
WALLENIUS, J.: Comparative Evaluation of Some Interactive Approaches to Multicriterion Optimization. Management Sci., 21, 1975, 1387–1397.
WOLFE, P.: The Simplex Method for Quadratic Programming. Econometrica, 27, 1959, 382–398.
WOLFE, P.: Convergence Theory in Nonlinear Programming. In: Abadie, J. (ed): Integer and Nonlinear Programming. North Holland, Amsterdam, 1970.
ZIONISTS, S., WALLENIUS, J.: An Interactive Programming Method for Solving the Multiple Criteria Problem. Management Sci., 22, 1976, 652–663.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1985 Springer-Verlag Wien
About this chapter
Cite this chapter
Rosinger, E.E. (1985). Aids for Decision Making with Conflicting Objectives. In: Serafini, P. (eds) Mathematics of Multi Objective Optimization. International Centre for Mechanical Sciences, vol 289. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2822-0_12
Download citation
DOI: https://doi.org/10.1007/978-3-7091-2822-0_12
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-81860-2
Online ISBN: 978-3-7091-2822-0
eBook Packages: Springer Book Archive