Weighted Voting Systems: A Threshold- Boolean Perspective

  • Alaa Mohammad alturki
  • Ali Muhammad Ali Rushdi
Keywords: Banzhaf index, Prime implicants, Threshold Boolean functions, Voting systems, Winning coalitions.

Abstract

Weighted voting systems play a crucial role in the investigation and modeling of manyengineering structures and political and socio-economic phenomena. There is an urgentneed to describe these systems in a simplified powerful mathematical way that can begeneralized to systems of any size. An elegant description of voting systems is presentedin terms of threshold Boolean functions. This description benefits considerably fromthe wealth of information about these functions, and of the potpourri of algebraic andmap techniques for handling them. The paper demonstrates that the prime implicantsof the system threshold function are its Minimal Winning Coalitions (MWC). Thepaper discusses the Boolean derivative (Boolean difference) of the system thresholdfunction with respect to each of its member components. The prime implicants of thisBoolean difference can be used to deduce the winning coalitions (WC) in which thepertinent member cannot be dispensed with. Each of the minterms of this Booleandifference is a winning coalition in which this member plays a pivotal role. However,the coalition ceases to be winning if the member defects from it. Hence, the numberof these minterms is identified as the Banzhaf index of voting power. The conceptsintroduced are illustrated with detailed demonstrative examples that also exhibit someof the known paradoxes of voting- system theory. Finally, the paper stresses the utilityof threshold Boolean functions in the understanding, study, analysis, and design ofweighted voting systems irrespective of size.

References

Alonso-Meijide, J. M. & Freixas, J. 2010. A new power index based on minimal winning coalitions

without any surplus. Decision Support Systems 49(1): 70-76.

Alonso-Meijide, J. M., Freixas, J. & Molinero, X. 2012. Computation of several power indices by

generating functions. Applied Mathematics and Computation 219(8): 3395-3402.

Axenovich, M. & Roy, S. 2010. On the structure of minimal winning coalitions in simple voting games.

Social Choice and Welfare 34(3): 429-440

Banzhaf, J. F., III. 1964. Weighted voting doesn’t work: A mathematical analysis. Rutgers Law Review

: 317-343.

Butterworth, R. L. 1971. A Research Note on the Size of Winning Coalitions. The American Political

Science Review 65: 741-748

Butterworth R. L. 1974. Comment on Shepsle’s “On the Size of Winning Coalitions“. The American

Political Science Review 68(2): 519-521.

Crama, Y. & Hammer, P. L. 2011. Boolean Functions: Theory, Algorithms, and Applications. Cambridge

University Press, Cambridge, United Kingdom.

Cross, J. G. 1967. Some Theoretic Characteristics of Economic and Political Coalitions. The Journal of

Conflict Resolution, 11(2): 184-195.

Das, S. & Rezek, I. 2012. Voting power: A generalised framework. arXiv preprint, arXiv:1201.4743.

Dubey, P. & Shapley, L. S. 1979. Mathematical properties of the Banzhaf power index. Mathematics of

Operations Research 4(2): 99-131.

Eryilmaz, S. 2015. Capacity loss and residual capacity in weighted k-out-of-n: G systems. Reliability

Engineering and Systems Safety 136: 140-144.

Fishburn, P. C. & Brams, S. J. 1996. Minimal winning coalitions in weighted-majority voting games. Social Choice and Welfare 13: 397-417.

Freixas, J. & Kaniovski, S. 2014. The minimum sum representation as an index of voting power. European

Journal of Operational Research 233(3): 739-748.

Freixas, J. & Pons, M. 2008. Identifying optimal components in a reliability system. IEEE Transactions

on Reliability 57: 163-170.

Freixas, J. & Puente, M. A. 2002. Reliability importance measures of the components in a system based

on semi-values and probabilistic values. Annals of Operations Research 109(1-4): 331-342.

Hammer, P. L. & Holzman, R. 1992. Approximations of pseudo-Boolean functions; Applications to

game theory. Zeitschrift für Operations Research 36(1): 3-21.

Hershey, M. R. 1973. Incumbency and the minimum winning coalition. American Journal of Political

Science 17(3): 631-637.

Holler, M. J. 1982. Forming coalitions and measuring voting power. Political studies 30(2): 262-271.

Holler, M. J. & Nurmi, H. 2013. Reflections on power, voting, and voting power. In Power, Voting, and

Voting Power: 30 Years After (pp. 1-24). Springer, Berlin-Heidelberg, Germany.

Houy, N. & Zwicker, W. S. 2014. The geometry of voting power: weighted voting and hyper-ellipsoids.

Games and Economic Behavior 84: 7-16.

Hurst, S. L., Miller, D. M. & Muzio, J. C. 1985. Spectral Techniques in Digital Logic, Academic Press,

London, UK.

Jelnov, A. & Tauman, Y. 2014. Voting power and proportional representation of voters. International

Journal of Game Theory 43(4), 747-766

Kirsch, W. & Langner, J. 2010. Power indices and minimal winning coalitions. Social Choice and

Welfare 34(1): 33-46.

Kuo, W. & Zhu, X. 2012. Importance Measures in Reliability, Risk, and Optimization: Principles and

Applications. John Wiley & Sons, New York, NY, USA.

Lee, S. C. 1978. Modern Switching Theory and Digital Design, Prentice-Hall, Englewood Cliffs, New

Jersey, NJ, USA.

March, J. G. 1962. The Business Firm as a Political Coalition, The Journal of Politics 24(4): 662-678.

Michael L. & Benoit K. 2015. The basic arithmetic of legislative decisions. American Journal of Political

Science 59 (2): 275-291.

Morgan, J. & Várdy, F. 2012. Negative vote buying and the secret ballot. Journal of Law, Economics,

and Organization 28 (4): 818-849.

Muroga, S. 1971. Threshold Logic and Its Applications, Wiley-Interscience, New York: NY, USA.

Muroga, S. 1979. Logic Design and Switching Theory, John Wiley & Sons, New York, NY, USA.

Nurmi, H., 1997. On power indices and minimal winning coalitions, Control and Cybernetics 26: 609-

Reed , I. S. 1973. Boolean Difference Calculus and Fault Finding, SIAM Journal on Applied Mathematics

(1): 134-143.

Rushdi, A. M. 1986a. Utilization of symmetric switching functions in the computation of k-out-of-n

system reliability. Microelectronics and Reliability 26(5): 973-987.

Rushdi, A. M. 1986b. Map differentiation of switching functions. Microelectronics and Reliability 26(5):

-908, 1986.

Rushdi, A. M. 1987a. On computing the syndrome of a switching function. Microelectronics and

Reliability 27(4): 703-716.

Rushdi, A. M. 1987b. On computing the spectral coefficients of a switching function. Microelectronics

and Reliability 27(6): 965-79.

Rushdi, A. M. 1990. Threshold systems and their reliability. Microelectronics and Reliability 30(2):

-312.

Rushdi, A. M. 1993. Reliability of k-out-of-n Systems, Chapter 5 in Misra, K. B. (Editor), New Trends

in System Reliability Evaluation. Vol. 16, Fundamental Studies in Engineering, Elsevier Science

Publishers, Amsterdam, The Netherlands, pp. 185-227.

Rushdi, A. M. 1997. Karnaugh map, Encyclopaedia of Mathematics, Supplement Volume I, M. Hazewinkel

(editor), Boston, Kluwer Academic Publishers, pp. 327-328. Available at http://eom.springer.de/K/

k110040.htm.

Rushdi, A. M. & Al-Yahya, H. A., 2000. A Boolean minimization procedure using the variable-entered

Karnaugh map and the generalized consensus concept. International Journal of Electronics 87(7):

-794.

Rushdi, A. M. & Al-Yahya, H. A. 2001a. Derivation of the complete sum of a switching function

with the aid of the variable-entered Karnaugh map. Journal of King Saud University: Engineering

Sciences 13(2): 239-269. Available at http://digital.library.ksu.edu.sa/paper818.html.

Rushdi, A. M. & Al-Yahya, H. A.. 2001b. Further improved variable-entered Karnaugh map procedures

for obtaining the irredundant forms of an incompletely-specified switching function. Journal

of King Abdulaziz University: Engineering Sciences 13(1): 111-152. Available at http://www.

kau.edu.sa/AccessPage.aspx.

Rushdi, A. M. A. 2010. Partially-redundant systems: Examples, reliability, and life expectancy.

International Magazine on Advances in Computer Science and Telecommunications 1(1): 1-13.

Rushdi, A. M. & Ba-Rukab, O. M. 2004. A map procedure for two-level multiple-output logic

minimization. Proceedings of the Seventeenth National Computer Conference, Al-Madinah Al-

Munw’ warah, Saudi Arabia, pp. 517-528.

Rushdi, A. M. & Ba-Rukab, O. M. 2007, A purely-map procedure for two-level multiple-output logic

minimization. International Journal of Computer Mathematics 84(1): 1-10.

Rushdi, A. M. A. & Albarakati, H. M. 2012. Using variable-entered Karnaugh maps in determining

dependent and independent sets of Boolean functions. Journal of King Abdulaziz University:

Computers and Information Technology 1(2): 45-67.

Rushdi, A. M. A. & Alturki, A.M. 2015. Reliability of coherent threshold systems. Journal of Applied

Science 15(3): 431-443.

Rushdi, A. M. A. & Hassan A. K. 2015. Reliability of migration between habitat patches with

heterogeneous ecological corridors. Ecological Modelling 304: 1-10.

Rushdi, A. M. A. & Hassan A. K. 2016. An exposition of system reliability analysis with an ecological

perspective, Ecological Indicators, 63:282-295.

Russell H. 1976. Hollow victory: The minimum winning coalition. The American Political Science

Review 70(4): 1202-1214

Shepsle, K. A. 1974a. On the size of winning coalitions. The American Political Science Review 68(02):

-518.

Shepsle, K. A. 1974b. On the Size of Winning Coalitions: Minimum Winning Coalitions Reconsidered: A

Rejoinder to Butterworth’s “Comment“. The American Political Science Review 68(2): 522-524.

Steen, L.A. 1994. For All Practical Purposes: Introduction to Contemporary Mathematics, Third Edition,

W.H. Freeman and Company, New York, NY, USA.

Steiner, H. G. 1967. An example of the axiomatic method in instruction: The Mathematics Teacher: 520-

Stewart, I. 1995., Election fever in Blockvotia, Scientific American 274(1): 80-81.

Taylor, A. D. & Pacelli, A. M. 2008. Mathematics and Politics: Strategy, Voting, Power, and Proof, Second

Edition, Springer Science+Business Media, New York, NY, USA.

Yamamoto, Y. 2012. Banzhaf index and Boolean difference, Proceedings of the 42nd IEEE International

Symposium on Multiple-Valued Logic (ISMVL): 191-196.

Zhu, X. & Kuo, W. 2014. Importance measures in reliability and mathematical programming, Annals of

Operations Research 212(1): 241-267.

Published
2016-03-06
Section
Industrial Engineering