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Journal articles on the topic 'Choice functions'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

van Hees, Martin, Akshath Jitendranath, and Roland Iwan Luttens. "Choice functions and hard choices." Journal of Mathematical Economics 95 (August 2021): 102479. http://dx.doi.org/10.1016/j.jmateco.2021.102479.

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2

MORDESON, JOHN N., TERRY D. CLARK, JENNIFER M. LARSON, and MARK J. WIERMAN. "CHOICE FUNCTIONS AND UPPER CHOICE FUNCTIONS." New Mathematics and Natural Computation 04, no. 02 (2008): 177–90. http://dx.doi.org/10.1142/s179300570800101x.

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Choice functions play an important role in political science. We present structure results of choice functions following an algebraic approach. It is logical that rational political actors are not able to perceive every alternative in a set of alternatives X. They may also choose to exclude some alternatives from consideration. Let S be a subset of X that some set of political actors are not able to perceive. Then the complement X\S is the set comprising those alternatives considered in the decision process. If C is a choice function on X, then C(X\S) are the alternatives chosen and X\C(X\S) are those that are not. We are thus led to the concept of an upper choice function. We define upper choice functions in terms of choice functions and we give relationships between them.

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3

Georgescu, Irina, and Jani Kinnunen. "Distances of Fuzzy Choice Functions." New Mathematics and Natural Computation 11, no. 03 (2015): 249–65. http://dx.doi.org/10.1142/s1793005715500088.

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In this paper, we introduce four distances on the set of fuzzy choice functions defined on a finite choice space. They are studied along with four distances on the set of fuzzy relations. The two types of distance allow to investigate the way the changes in fuzzy preferences are reflected in the changes of fuzzy choice associated with them. Also the way the changes in fuzzy choices manifest themselves in changes in fuzzy preferences are studied. The coefficient of normality of a fuzzy choice function is defined as a measure of normality and its variation is evaluated with respect to the variation of fuzzy choices. Finally, the variation of some congruence indicators is evaluated as effect of the changes in fuzzy choices.

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4

Van Camp, Arthur, Gert de Cooman, and Enrique Miranda. "Lexicographic choice functions." International Journal of Approximate Reasoning 92 (January 2018): 97–119. http://dx.doi.org/10.1016/j.ijar.2017.10.011.

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5

Van Camp, Arthur, and Gert de Cooman. "Exchangeable choice functions." International Journal of Approximate Reasoning 100 (September 2018): 85–104. http://dx.doi.org/10.1016/j.ijar.2018.05.006.

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6

Yokoi, Yu. "Matroidal Choice Functions." SIAM Journal on Discrete Mathematics 33, no. 3 (2019): 1712–24. http://dx.doi.org/10.1137/17m1138121.

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7

Yang, Yi-You. "Rationalizable choice functions." Games and Economic Behavior 123 (September 2020): 120–26. http://dx.doi.org/10.1016/j.geb.2020.07.003.

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8

MORDESON, JOHN N., KIRAN R. BHUTANI, and TERRY D. CLARK. "THE RATIONALITY OF FUZZY CHOICE FUNCTIONS." New Mathematics and Natural Computation 04, no. 03 (2008): 309–27. http://dx.doi.org/10.1142/s1793005708001112.

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If we assume that the preferences of a set of political actors are not cyclic, we would like to know if their collective choices are rationalizable. Given a fuzzy choice rule, do they collectively choose an alternative from the set of undominated alternatives? We consider necessary and sufficient conditions for a partially acyclic fuzzy choice function to be rationalizable. We find that certain fuzzy choice functions that satisfy conditions α and β are rationalizable. Furthermore, any fuzzy choice function that satisfies these two conditions also satisfies Arrow and Warp.

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9

Geurts, Bart. "Indefinites and Choice Functions." Linguistic Inquiry 31, no. 4 (2000): 731–38. http://dx.doi.org/10.1162/002438900554550.

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10

Fosgerau, Mogens, Daniel McFadden, and Michel Bierlaire. "Choice probability generating functions." Journal of Choice Modelling 8 (September 2013): 1–18. http://dx.doi.org/10.1016/j.jocm.2013.05.002.

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11

Rodríguez-Galiano, Ma Isabel. "Rationalizations of choice functions." Top 8, no. 2 (2000): 311–26. http://dx.doi.org/10.1007/bf02628560.

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12

Heusinger, Klaus, and Ruth Kempson. "Choice Functions in Semantics." Research on Language and Computation 2, no. 3 (2004): 307–8. http://dx.doi.org/10.1007/s11168-004-0903-7.

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13

Asheim, Geir B., Walter Bossert, Yves Sprumont, and Kotaro Suzumura. "Infinite-horizon choice functions." Economic Theory 43, no. 1 (2008): 1–21. http://dx.doi.org/10.1007/s00199-008-0423-z.

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14

Helzner, Jeffrey. "Rationalizing two-tiered choice functions through conditional choice." Synthese 190, no. 6 (2011): 929–51. http://dx.doi.org/10.1007/s11229-011-0056-9.

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15

Pfannschmidt, Karlson, Pritha Gupta, Björn Haddenhorst, and Eyke Hüllermeier. "Learning context-dependent choice functions." International Journal of Approximate Reasoning 140 (January 2022): 116–55. http://dx.doi.org/10.1016/j.ijar.2021.10.002.

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16

Danilov, V., and G. Koshevoy. "Mathematics of Plott choice functions." Mathematical Social Sciences 49, no. 3 (2005): 245–72. http://dx.doi.org/10.1016/j.mathsocsci.2004.09.001.

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17

Schwartz, Thomas. "Choice functions and bounded rationality." Mathematical Social Sciences 68 (March 2014): 14–18. http://dx.doi.org/10.1016/j.mathsocsci.2013.11.002.

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18

Danilov, V., and G. Koshevoy. "Choice Functions and Extensive Operators." Order 26, no. 1 (2009): 69–94. http://dx.doi.org/10.1007/s11083-009-9108-x.

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19

Koray, Semih, and Arkadii Slinko. "Self-selective social choice functions." Social Choice and Welfare 31, no. 1 (2007): 129–49. http://dx.doi.org/10.1007/s00355-007-0276-6.

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20

Troquard, Nicolas, Wiebe van der Hoek, and Michael Wooldridge. "Reasoning About Social Choice Functions." Journal of Philosophical Logic 40, no. 4 (2011): 473–98. http://dx.doi.org/10.1007/s10992-011-9189-z.

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21

Georgescu, Irina. "Similarity of fuzzy choice functions." Fuzzy Sets and Systems 158, no. 12 (2007): 1314–26. http://dx.doi.org/10.1016/j.fss.2007.01.009.

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22

Dutta, Bhaskar, and Jean-Francois Laslier. "Comparison functions and choice correspondences." Social Choice and Welfare 16, no. 4 (1999): 513–32. http://dx.doi.org/10.1007/s003550050158.

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23

Johnson, Mark R., and Richard A. Dean. "Designer path independent choice functions." Economic Theory 26, no. 3 (2005): 729–40. http://dx.doi.org/10.1007/s00199-004-0544-y.

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24

Blackorby, Charles, Walter Bossert, and David Donaldson. "Rationalizable variable-population choice functions." Economic Theory 19, no. 2 (2002): 355–78. http://dx.doi.org/10.1007/pl00004217.

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25

Seidenfeld, Teddy, Mark J. Schervish, and Joseph B. Kadane. "Coherent choice functions under uncertainty." Synthese 172, no. 1 (2009): 157–76. http://dx.doi.org/10.1007/s11229-009-9470-7.

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26

Rubchinsky, Alexander. "Choice functions in multistage optimization." Journal of Multi-Criteria Decision Analysis 3, no. 2 (1994): 105–17. http://dx.doi.org/10.1002/mcda.4020030205.

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27

Siegel, Gilbert B. "Outsourcing Personnel Functions." Public Personnel Management 29, no. 2 (2000): 225–36. http://dx.doi.org/10.1177/009102600002900205.

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One of the more recent “hot button” issues in our field is that of outsourcing all or some human resource (HR) functions whether by fee for service or contract. Advocates from the field of Public Choice Economics assume and, in many cases, economically substantiate the case for privatization of governmental functions.1 Even though these economists demonstrate an underlying anti-government bias, their basic argument with supply of government services is “that agencies should compete to provide citizens with goods and services instead of acting like monopolies under the influence of organized pressure groups.”2 Responsiveness to the needs of individual citizens (or to governmental units to be served by staff agencies, for that matter) is best obtained by competing within markets, with the result of economic choices by clientele between competing services. From this market environment economies in resource allocation and efficiency and effectiveness in operations are said to result. Public Choice Economists would also include simulation of market forces by introducing competition, possibly within the same department, governmental jurisdiction, or between other public, profit or nonprofit providers.3 This essay departs from an article by Robert J. Agresta.4 He argues for an extension of the Public Choice approach from one of “citizen-customers being empowered to select freely among providers of a service—whether it is schools or health care (with vouchers) or groceries (with food stamps)—and have control over the resources needed to acquire the service…”,5 to the same market relationship between central administrative (staff or auxiliary staff) agencies and the line units to which they provide services. While Agresta writes of building choice into any line-staff relationships, this article is concerned with HR service supply alternatives and alternative modes for their delivery.

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28

Lahiri, Somdeb. "Axiomatic characterizations of threshold choice functions for comparison functions." Fuzzy Sets and Systems 132, no. 1 (2002): 77–82. http://dx.doi.org/10.1016/s0165-0114(01)00240-8.

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29

Scandurra, Anna, Alessandra Alterisio, Anna Di Cosmo, Antonio D’Ambrosio, and Biagio D’Aniello. "Ovariectomy Impairs Socio-Cognitive Functions in Dogs." Animals 9, no. 2 (2019): 58. http://dx.doi.org/10.3390/ani9020058.

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Recent studies have underlined the effect of ovariectomy on the spatial cognition of female dogs, with ovariectomized dogs showing a clear preference for an egocentric rather than an allocentric navigation strategy whereas intact females did not show preferences. Intact females had better performances than gonadectomized females in solving a learning task in a maze. Ovariectomy also affects socio-cognitive abilities, reducing the dog’s level of attention on the owner. We tested dogs (Canis lupus familiaris) in the object choice task paradigm to assess whether an ovariectomy could impair females’ ability to follow human signals. Forty pet dogs (18 intact females (IF) and 22 gonadectomized females (GF)) were tested in the object choice task paradigm using the human proximal pointing gesture. For the analysis, the frequency of correct, wrong and no-choices was collected; moreover, the latency of the correct choices was also considered. The IF group followed the pointing gestures more often than the GF group and with a lower latency, whereas a significantly higher no-choice frequency was recorded for the GF group. These results show a detrimental effect of ovariectomy on dogs’ socio-cognitive skills related to the responsiveness to human pointing gestures.

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30

Kim, K. H., and F. W. Roush. "Statistical manipulability of social choice functions." Group Decision and Negotiation 5, no. 3 (1996): 263–82. http://dx.doi.org/10.1007/pl00020689.

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31

McCullough, B. D. "Algorithm choice for (partial) autocorrelation functions." Journal of Economic and Social Measurement 24, no. 3-4 (1998): 265–78. http://dx.doi.org/10.3233/jem-1998-0151.

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32

Kalai, Gil, Ariel Rubinstein, and Ran Spiegler. "Rationalizing Choice Functions By Multiple Rationales." Econometrica 70, no. 6 (2002): 2481–88. http://dx.doi.org/10.1111/1468-0262.00382.

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33

Weymark, John A. "Decomposable Strategy‐Proof Social Choice Functions." Japanese Economic Review 50, no. 3 (1999): 343–55. http://dx.doi.org/10.1111/1468-5876.00123.

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34

Koshevoy, Gleb A. "Choice functions and abstract convex geometries." Mathematical Social Sciences 38, no. 1 (1999): 35–44. http://dx.doi.org/10.1016/s0165-4896(98)00044-4.

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35

Georgescu, Irina. "Consistency indicators for fuzzy choice functions." Mathematical Social Sciences 53, no. 1 (2007): 93–105. http://dx.doi.org/10.1016/j.mathsocsci.2006.09.001.

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36

Maus, Stefan, Hans Peters, and Ton Storcken. "Minimally manipulable anonymous social choice functions." Mathematical Social Sciences 53, no. 3 (2007): 239–54. http://dx.doi.org/10.1016/j.mathsocsci.2007.02.002.

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37

Nicolas, Houy. "Choice Functions with States of Mind." Theory and Decision 65, no. 1 (2007): 1–26. http://dx.doi.org/10.1007/s11238-007-9049-z.

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38

Daniels, Richard L., and L. Robin Keller. "Choice-based assessment of utility functions." Organizational Behavior and Human Decision Processes 52, no. 3 (1992): 524–43. http://dx.doi.org/10.1016/0749-5978(92)90031-2.

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39

Danilov, V. I., and A. I. Sotskov. "On strongly consistent social choice functions." Journal of Mathematical Economics 22, no. 4 (1993): 327–46. http://dx.doi.org/10.1016/0304-4068(93)90021-c.

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40

Subiza, Begoña, and Josep E. Peris. "Condorcet choice functions and maximal elements." Social Choice and Welfare 24, no. 3 (2005): 497–508. http://dx.doi.org/10.1007/s00355-003-0312-0.

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41

Georgescu, Irina. "Congruence indicators for fuzzy choice functions." Social Choice and Welfare 30, no. 2 (2007): 331–52. http://dx.doi.org/10.1007/s00355-007-0233-4.

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42

Klamler, Christian. "A distance measure for choice functions." Social Choice and Welfare 30, no. 3 (2007): 419–25. http://dx.doi.org/10.1007/s00355-007-0239-y.

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43

Van Camp, Arthur, Gert de Cooman, Enrique Miranda, and Erik Quaeghebeur. "Coherent choice functions, desirability and indifference." Fuzzy Sets and Systems 341 (June 2018): 1–36. http://dx.doi.org/10.1016/j.fss.2017.05.019.

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44

Kalai, Gil, Ariel Rubinstein, and Ran Spiegler. "Rationalizing Choice Functions By Multiple Rationales." Econometrica 70, no. 6 (2002): 2481–88. http://dx.doi.org/10.1111/j.1468-0262.2002.00446.x.

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45

Owings, James C. "Effective choice functions and index sets." Journal of Computer and System Sciences 32, no. 3 (1986): 370–73. http://dx.doi.org/10.1016/0022-0000(86)90035-8.

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46

Romero, Maribel. "Intensional Choice Functions for "Which" Phrases." Semantics and Linguistic Theory 9 (November 3, 1999): 255. http://dx.doi.org/10.3765/salt.v9i0.2824.

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47

Schwarz, Bernhard. "Long Distance Indefinites and Choice Functions." Language and Linguistics Compass 5, no. 12 (2011): 880–97. http://dx.doi.org/10.1111/j.1749-818x.2011.00315.x.

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48

Schlegel, Jan Christoph. "Equivalent choice functions and stable mechanisms." Games and Economic Behavior 123 (September 2020): 41–53. http://dx.doi.org/10.1016/j.geb.2020.06.005.

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49

Kim, K. H., and F. W. Roush. "Statistical manipulability of social choice functions." Group Decision and Negotiation 5, no. 3 (1996): 263–82. http://dx.doi.org/10.1007/bf02400947.

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50

Cato, Susumu. "Choice functions and weak Nash axioms." Review of Economic Design 22, no. 3-4 (2018): 159–76. http://dx.doi.org/10.1007/s10058-018-0215-2.

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