article

Decision making process: typology, intelligence, and optimization

Author:

Behnam MalakootiAuthors Info & Claims

Journal of Intelligent Manufacturing, Volume 23, Issue 3

Pages 733 - 746

https://doi.org/10.1007/s10845-010-0424-1

Published: 01 June 2012 Publication History

Abstract

Decision making is concerned with evaluating and/or ranking possible alternatives of action. In this paper, we develop a model for the process of decision making. Understanding the decision process can provide insights into how humans make decisions, understand their decision making approaches, and how they differ from each other. We believe that decision makers who are conscious of their decision process types can make more effective and balanced decisions. In this paper, we present a new decision process model based on the following four dimensions where each dimension is defined by two opposing types: Information Processing (Concrete and Abstract), Alternative Generation (Adaptive and Constructive), Alternative Evaluation (Moderate and Bold), and Decision Closure (Organized and Flexible). Furthermore, an approach for assessing each of the four decision process types by a mathematical function is presented. In a much boarder scope than decision making, these assessed functions can be used to evaluate and rank alternatives. The decision process model can also be used in conjunction with multiple criteria decision making and multiple objective optimization. The model can also be used to explain the reasons that the classical decision making models fail to describe real decision makers' behavior, and mistakenly label such behavior as irrational. The proposed decision process model can be used for developing new behavioral, rational, and intelligent decision making theories and approaches. Extensions of this work may include group decision making, organizational decision making, team formation, and risk behavior analysis. Experimental results of over four hundred engineering students are reported. A web site has been developed for users ( http://car.cwru.edu/decision/ ).

References

[1]

Adams, J. (1995). Risk . London: UCL Press.

[2]

Ansell, J., & Wharton, F. (Eds.). (1992). Risk analysis, assessment and management . Chichester: Wiley.

[3]

Arrow, K. J. (1971). Essays on the theory of risk-bearing . Chicago: Markham Publishing Company.

[4]

Azuma, R., Daily. M., & Furmanski. C. (2006). A review of time critical decision making models and human cognitive processes. In Aerospace Conference , 2006 IEEE, March 2006, pp. 4-11.

[5]

Bell, D. E. (1983). Risk premiums for decision regret. Management Science, 29 (10), 1156-1166.

Digital Library

[6]

Bergquist, W. H., & Phillips, S. R. (Eds.). (1975). A handbook for faculty development, Vol. 1 . Washington, DC: Council for the Advancement of Small Colleges.

[7]

Betsch, C., & Kunz, J. J. (2008). Individual strategy preferences and decisional fit. Journal of Behavioral Decision Making, 21 , 532-555.

[8]

Böhm, G., & Brun, W. (2008). Intuition and affect in risk perception and decision making. Judgment and Decision Making, 3 (1), 1-4.

[9]

Chan, F. T. S., Chung, S. H., & Choy, K. L. (2006). Optimization of order fulfillment in distribution network problems. Journal of Intelligent Manufacturing, 17 , 307-319.

[10]

Chandrasekaran, B. (2007). Multi-criterial decision-making and the cognitive architecture of problem solving. In Computational Intelligence in Multicriteria Decision Making, IEEE Symposium on , No. 1-5, Apr 2007, pp. 235-235.

[11]

Cloninger, C. R. et al. (1991). The tridimensional personality questionnaire: U.S. normative data. Psychological Reports, 69 , 1047-1057.

[12]

Cloninger, C. R. (1994). Temperament and personality. Current Opinion in Neurobiology, 4 (2), 266-273.

[13]

Dagdeviren, M. (2008). Decision making in equipment selection: An integrated approach with AHP and PROMETHEE. Journal of Intelligent Manufacturing, 19 (4), 397-406.

[14]

Endsley, M. R., Hoffman, R., Kaber, D., & Roth, E. (2007). Cognitive engineering and decision making: An overview and future course. Journal of Cognitive Engineering and Decision Making, 1 (1), 1-21.

[15]

Felder R., Soloman M., & Barbara A. (2000). "Learning styles and strategies." Online article. http://www.crc4mse.org/ILS/ILS_ explained.html, 2000, Dec 15.

[16]

Ferrari, J. R., & Dovidio, J. F. (2000). Examining behavioral processes in indecision: Decisional procrastination and decision-making style. Journal of Research in Personality, 34 , 127-137.

[17]

Friedman, M., & Savage, L. J. (1948). The utility analysis of choices involving risk. Journal of Political Economy, 56 (4), 279-304.

[18]

Galotti, K. M. (2001). Helps and hindrances for adolescents making important real-life decisions. Applied Developmental Psychology, 22 , 275-287.

[19]

Gollier, C., Lindsey, J., & Zeckhauser, R. J. (1997). Investment flexibility and the acceptance of risk. Journal of Economic Theory, 76 , 219-241.

[20]

Guang, Y., Zhong, Z. W., & Ding, Z (2004). Optimization of tool change timing in a nut forming process using genetic algorithms. Journal of Intelligent Manufacturing, 15 (5), 693-699.

[21]

Haynes, S. N., & O'Brien, W. H. (2007). Principles and practice of behavioral assessment , 1st edn. Berline: Springer

[22]

Hull, R. F. C., & Baynes, H. G. (1990). Psychological types: C.G. Jung, 9th Edn. Princeton, NJ: Princeton University Press, Kluwer/Plenum Academic Publishers.

[23]

Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47 (2), 263-291.

[24]

Kaneko, M., & Suzuki, N. (2001). Bounded interpersonal inferences and decision making. Economic Theory, 19 , 63-103.

[25]

Keeney, R. L., & Raiffa, H. (1993). Decisions with multiple objectives: Preferences and value tradeoffs. Cambridge: Cambridge University Press.

[26]

Keirsey, D. (1998). Please understand me II: Temperament, character, intelligence. Del Mar, CA: Prometheus Nemesis.

[27]

Kim, C. N., Yang, K. H., & Kim, J. (2008). Human decision-making behavior and modeling effects. Decision Support Systems, 45 (3), 517-527.

Digital Library

[28]

Kolb, D. (1984). Eperiential learning: Experience as the source of learning and development . Englewood Cliffs, NJ: Prentice Hall.

[29]

Kroeger O., & Thuesen J. M. (2002). Type talk at work: How the 16 personality types determine your success on the job. Delta; Revised edition, July 30, 2002.

[30]

Kull, T. J., & Talluri, S. (2008). A supply risk reduction model using integrated multicriteria decision making. IEEE Transactions on Engineering Management, 55 (3), 409-419.

[31]

Leonard, N. H., Scholl, R. W., & Kowalski, K. B. (1999). Information processing style and decision making. Journal of Organizational Behavior, 20 , 407-420.

[32]

Loo, R. (2000). A psychometric evaluation of the general decision-making style Inventory. Personality and Individual Differences, 29 , 895-905.

[33]

Lopes, L. L. (1997). Between hope and fear: The psychology of risk. In W. M. Goldstein & R. M. Hogarth (Eds.), Research of judgement and decision making (pp. 681-717). New York: Cambridge Press.

[34]

Maggini, C., Ampollini, P., Marchesi, C., Gariboldi, S., & Cloninger, C. R. (2000). Relationships between tridimensional personality questionnaire dimensions and DSM-III-R personality traits in Italian adolescents. Comprehensive Psychiatry, 41 (6), 426-431.

[35]

Malakooti, B., & Zhou, Y. (1994). An adaptive feedforward artificial neural network with application to multiple criteria decision making. Management Science, 40 (11), 1542-1561.

Digital Library

[36]

Malakooti, B., Zhou, Y., & Tandler, E. C. (1995). In-process regressions and adaptive neural networks for monitoring and Supervising machining operations. Journal of Intelligent Manufacturing, 6 , 53-66.

[37]

Malakooti, B., & Raman, V. (2000a). An interactive multi-objective artificial neural network approach for machine setup optimization. Journal of Intelligent Manufacturing, 11 (1), 41-50.

[38]

Malakooti, B., & Raman, V. (2000b). Clustering and selection of multiple criteria alternatives using unsupervised and supervised neural networks. Journal of Intelligent Manufacturing, 11 (5), 435-451.

[39]

McClelland, D. (1961). The achieving society . New York: The Free Press.

[40]

Miller, C. C. (2008). Decisional comprehensiveness and firm performance: Towards a more complete understanding. Journal of Behavioral Decision Making, 21 , 598-620.

[41]

Myers, I. (1962). The Myers-briggs type indicator, 1962.

[42]

Neumann, J. V., & Morgenstern, O. (2007). Theory of games and economic behavior. Princeton, NJ: Princeton University Press; 60 Anv. edn, Mar 19, 2007.

[43]

Parker, A. M., & Fischhoff, B. (2005). Decision-making competence: External validation through an Individual-differences Approach. Journal of Behavioral Decision Making, 18 , 1-27.

[44]

Power, D. J., & Sharda, R. (2007). Model-driven decision support systems: Concepts and research directions. Decision Support Systems, Integrated Decision Support, 43 (3), 1044-1061.

Digital Library

[45]

Pratt, J. W. (1964). Risk aversion in the small and in the large. Econometrica, 32 (1/2), 122-136.

[46]

Raiffa, H. (1968). Decision analysis: Introductory lectures on choice under uncertainty . New York: McGraw-Hill.

[47]

Silva, F. (1993). Psychometric foundations and behavioral assessment . Newbury Park, CA: Sage Publications Inc.

[48]

Smith, C. W. Jr. (1995). Corporate risk management: Theory and practice. Journal of Derivatives, 2 , 21-30.

[49]

Smith, M. (1999). Gender, cognitive style, personality and management decision making. Management Accounting, 7 (77), 18-22.

[50]

Tamura, H. (2005). Behavioral models for complex decision analysis. European Journal of Operational Research, 166 (3), 655-665.

[51]

Tang, J., Wang, X., Kaku, I., & Yung, K.-l. (2009). Optimization of parts scheduling in multiple cells considering intercell move using scatter search approach. Journal of Intelligent Manufacturing .

[52]

Tchangani, A. P. (2004). Decision-making with uncertain data: Bayesian linear programming approach. Journal of Intelligent Manufacturing, 15 , 17-27.

[53]

Tsaousis, I. (1999). The traits personality questionnaire (TPQue): A Greek measure for the five factor model. Personality and Individual Differences, 26 , 271-283.

[54]

Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211 , 453-458.

[55]

Tversky, A., & Kahneman, D. (1986). Rational choice and the framing of decisions. The Journal of Business, 59 , No. 4, Part 2: The Behavioral Foundations of Economic Theory, S251-S278.

[56]

Zeelenberg, M. (1999). Anticipated regret, expected feedback and behavioral decision making. Journal of Behavioral Decision Making, 12 , 93-106.

[57]

Zhang, Q., Chen, J. C. H., & Chong, P. P. (2004). Decision consolidation: Criteria weight determination using multiple preference formats. Decision Support Systems, 38 (2), 247-258.

Digital Library

Cited By

Malakooti BKomaki MAl-Najjar C(2021)Basic Geometric Dispersion Theory of Decision Making Under RiskDecision Analysis10.1287/deca.2019.040418:1(41-77)Online publication date: 1-Mar-2021
https://dl.acm.org/doi/10.1287/deca.2019.0404
Song WSakao T(2016)Service conflict identification and resolution for design of product-service offeringsComputers and Industrial Engineering10.1016/j.cie.2016.05.01998:C(91-101)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1016/j.cie.2016.05.019

Decision making process: typology, intelligence, and optimization

Recommendations

Sustainable decision making: the role of decision support systems

Sustainable decision making stands for decision making which contributes to the transition to a sustainable society. It raises a number of challenging problems for which existing decision support systems (DSS) may not be equipped. The role of DSS in ...
Impacts of problem structure and computerized decision aids on decision attitudes and behaviors
Systematic decision process for intelligent decision making

In this paper, Systematic decision process (SDP) for solving Multiple Criteria Decision Making problems with application for manufacturing location selection is introduced. SDP is a comprehensive approach which is based on eliciting strength of ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Journal of Intelligent Manufacturing

Journal of Intelligent Manufacturing Volume 23, Issue 3

June 2012

546 pages

ISSN:0956-5515

Issue’s Table of Contents

Copyright © Copyright © 2012 Springer Science+Business Media, LLC.

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 June 2012

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 22 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Malakooti BKomaki MAl-Najjar C(2021)Basic Geometric Dispersion Theory of Decision Making Under RiskDecision Analysis10.1287/deca.2019.040418:1(41-77)Online publication date: 1-Mar-2021
https://dl.acm.org/doi/10.1287/deca.2019.0404
Song WSakao T(2016)Service conflict identification and resolution for design of product-service offeringsComputers and Industrial Engineering10.1016/j.cie.2016.05.01998:C(91-101)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1016/j.cie.2016.05.019

View Options

View options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Issue’s Table of Contents