Combination of democracy values using Hooper's rule

Shih-Chuan Cheng, Adam D. Grieser, Terry D. Clark, John N. Mordeson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The objective of this paper is to continue the study of inductive approaches to determine causality in comparative politics by a fuzzy approach and then a classical statistical method. A method proposed by Guiasu [1] was utilized in [2] whereas the Jeffrey's Rule as described in [1] was employed in [3]. In this paper, the Bayes' Rule as described in [1] is used to combine the democracy values of Freedom House, Vanhanen, and Polity for 27 countries in Eastern Europe. Also, the Dempster-Schafer method is also applied to measure the democracy values for these 27 countries. A data set of eight factors hypothesized to be important is used to demonstrate consolidation. These factors are: H1 (stateness), H2 (corruption), H3 (privatization), H4 (multi-party system), H5 (usable - reformed - public administration), H6 (decentralization), H7 (rule of law - autonomous judiciary), and H8 (avoiding a powerful chief executive). In [1], we use a model proposed by Guiasu that describes the process of reaching a verdict by probabilistic weighting of available evidence. We used the model to determine a numerical relationship between the H-factors. The classical rules from decision theory proposed by Hooper, Dempster, Bayes, and Jeffrey are special cases of Guiasu's weighting process. For each H-factor, two sets of median democracy values for all 27 countries in Eastern Europe were obtained - one by the Freedom House, Vanhanen, and Polity method and the other by the Dempster-Schafer method. Subsequently, an extensive non-parametric statistical analysis will be performed on scores of these 8 H-factors to investigate the consistency of the two scoring methods.

Original languageEnglish
Title of host publicationNAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society
Pages164-167
Number of pages4
DOIs
StatePublished - 2007
EventNAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society - San Diego, CA, United States
Duration: Jun 24 2007Jun 27 2007

Other

OtherNAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society
CountryUnited States
CitySan Diego, CA
Period6/24/076/27/07

Fingerprint

Statistical methods
Public administration
Privatization
Decision theory
Consolidation

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Media Technology

Cite this

Cheng, S-C., Grieser, A. D., Clark, T. D., & Mordeson, J. N. (2007). Combination of democracy values using Hooper's rule. In NAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society (pp. 164-167). [4271053] https://doi.org/10.1109/NAFIPS.2007.383830

Combination of democracy values using Hooper's rule. / Cheng, Shih-Chuan; Grieser, Adam D.; Clark, Terry D.; Mordeson, John N.

NAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society. 2007. p. 164-167 4271053.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cheng, S-C, Grieser, AD, Clark, TD & Mordeson, JN 2007, Combination of democracy values using Hooper's rule. in NAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society., 4271053, pp. 164-167, NAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society, San Diego, CA, United States, 6/24/07. https://doi.org/10.1109/NAFIPS.2007.383830
Cheng S-C, Grieser AD, Clark TD, Mordeson JN. Combination of democracy values using Hooper's rule. In NAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society. 2007. p. 164-167. 4271053 https://doi.org/10.1109/NAFIPS.2007.383830
Cheng, Shih-Chuan ; Grieser, Adam D. ; Clark, Terry D. ; Mordeson, John N. / Combination of democracy values using Hooper's rule. NAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society. 2007. pp. 164-167
@inproceedings{e21bac3c883845548b9da8a61ed4d081,
title = "Combination of democracy values using Hooper's rule",
abstract = "The objective of this paper is to continue the study of inductive approaches to determine causality in comparative politics by a fuzzy approach and then a classical statistical method. A method proposed by Guiasu [1] was utilized in [2] whereas the Jeffrey's Rule as described in [1] was employed in [3]. In this paper, the Bayes' Rule as described in [1] is used to combine the democracy values of Freedom House, Vanhanen, and Polity for 27 countries in Eastern Europe. Also, the Dempster-Schafer method is also applied to measure the democracy values for these 27 countries. A data set of eight factors hypothesized to be important is used to demonstrate consolidation. These factors are: H1 (stateness), H2 (corruption), H3 (privatization), H4 (multi-party system), H5 (usable - reformed - public administration), H6 (decentralization), H7 (rule of law - autonomous judiciary), and H8 (avoiding a powerful chief executive). In [1], we use a model proposed by Guiasu that describes the process of reaching a verdict by probabilistic weighting of available evidence. We used the model to determine a numerical relationship between the H-factors. The classical rules from decision theory proposed by Hooper, Dempster, Bayes, and Jeffrey are special cases of Guiasu's weighting process. For each H-factor, two sets of median democracy values for all 27 countries in Eastern Europe were obtained - one by the Freedom House, Vanhanen, and Polity method and the other by the Dempster-Schafer method. Subsequently, an extensive non-parametric statistical analysis will be performed on scores of these 8 H-factors to investigate the consistency of the two scoring methods.",
author = "Shih-Chuan Cheng and Grieser, {Adam D.} and Clark, {Terry D.} and Mordeson, {John N.}",
year = "2007",
doi = "10.1109/NAFIPS.2007.383830",
language = "English",
isbn = "1424412145",
pages = "164--167",
booktitle = "NAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society",

}

TY - GEN

T1 - Combination of democracy values using Hooper's rule

AU - Cheng, Shih-Chuan

AU - Grieser, Adam D.

AU - Clark, Terry D.

AU - Mordeson, John N.

PY - 2007

Y1 - 2007

N2 - The objective of this paper is to continue the study of inductive approaches to determine causality in comparative politics by a fuzzy approach and then a classical statistical method. A method proposed by Guiasu [1] was utilized in [2] whereas the Jeffrey's Rule as described in [1] was employed in [3]. In this paper, the Bayes' Rule as described in [1] is used to combine the democracy values of Freedom House, Vanhanen, and Polity for 27 countries in Eastern Europe. Also, the Dempster-Schafer method is also applied to measure the democracy values for these 27 countries. A data set of eight factors hypothesized to be important is used to demonstrate consolidation. These factors are: H1 (stateness), H2 (corruption), H3 (privatization), H4 (multi-party system), H5 (usable - reformed - public administration), H6 (decentralization), H7 (rule of law - autonomous judiciary), and H8 (avoiding a powerful chief executive). In [1], we use a model proposed by Guiasu that describes the process of reaching a verdict by probabilistic weighting of available evidence. We used the model to determine a numerical relationship between the H-factors. The classical rules from decision theory proposed by Hooper, Dempster, Bayes, and Jeffrey are special cases of Guiasu's weighting process. For each H-factor, two sets of median democracy values for all 27 countries in Eastern Europe were obtained - one by the Freedom House, Vanhanen, and Polity method and the other by the Dempster-Schafer method. Subsequently, an extensive non-parametric statistical analysis will be performed on scores of these 8 H-factors to investigate the consistency of the two scoring methods.

AB - The objective of this paper is to continue the study of inductive approaches to determine causality in comparative politics by a fuzzy approach and then a classical statistical method. A method proposed by Guiasu [1] was utilized in [2] whereas the Jeffrey's Rule as described in [1] was employed in [3]. In this paper, the Bayes' Rule as described in [1] is used to combine the democracy values of Freedom House, Vanhanen, and Polity for 27 countries in Eastern Europe. Also, the Dempster-Schafer method is also applied to measure the democracy values for these 27 countries. A data set of eight factors hypothesized to be important is used to demonstrate consolidation. These factors are: H1 (stateness), H2 (corruption), H3 (privatization), H4 (multi-party system), H5 (usable - reformed - public administration), H6 (decentralization), H7 (rule of law - autonomous judiciary), and H8 (avoiding a powerful chief executive). In [1], we use a model proposed by Guiasu that describes the process of reaching a verdict by probabilistic weighting of available evidence. We used the model to determine a numerical relationship between the H-factors. The classical rules from decision theory proposed by Hooper, Dempster, Bayes, and Jeffrey are special cases of Guiasu's weighting process. For each H-factor, two sets of median democracy values for all 27 countries in Eastern Europe were obtained - one by the Freedom House, Vanhanen, and Polity method and the other by the Dempster-Schafer method. Subsequently, an extensive non-parametric statistical analysis will be performed on scores of these 8 H-factors to investigate the consistency of the two scoring methods.

UR - http://www.scopus.com/inward/record.url?scp=35148896348&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=35148896348&partnerID=8YFLogxK

U2 - 10.1109/NAFIPS.2007.383830

DO - 10.1109/NAFIPS.2007.383830

M3 - Conference contribution

SN - 1424412145

SN - 9781424412143

SP - 164

EP - 167

BT - NAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society

ER -