Statistical Interpretations of Three-Way Decisions

In an evaluation based model of three-way decisions, one constructs three regions, namely, the left, middle, and right regions based on an evaluation function and a pair of thresholds. This paper examines statistical interpretations for the construction of three regions. Such interpretations rely on an understanding that the middle region consists of normal or typical instances in a population, while two side regions consist of, abnormal or untypical instances. By using statistical information such as median, mean, percentile, and standard deviation, two interpretations are discussed. One is based on non-numeric values and the other is based on numeric values. For non-numeric values, median and percentile are used to construct three pair-wise disjoint regions. For numeric values, mean and standard deviation are used. The interpretations provide a solid statistical basis of three-way decisions for applications.

[1]  Yiyu Yao,et al.  Cost-sensitive three-way email spam filtering , 2013, Journal of Intelligent Information Systems.

[2]  Yiyu Yao,et al.  Decision-theoretic three-way approximations of fuzzy sets , 2014, Inf. Sci..

[3]  Eric R. Ziegel,et al.  Statistical Case Studies for Industrial Process Improvement , 1997 .

[4]  J. Sattler,et al.  Assessment of Children's Intelligence , 1974 .

[5]  C. Pater,et al.  The Blood Pressure "Uncertainty Range" – a pragmatic approach to overcome current diagnostic uncertainties (II) , 2005, Current controlled trials in cardiovascular medicine.

[6]  Bao Qing Hu,et al.  Three-way decisions space and three-way decisions , 2014, Inf. Sci..

[7]  Jerzy W. Grzymala-Busse,et al.  Rough Sets , 1995, Commun. ACM.

[8]  Yiyu Yao,et al.  Perspectives of granular computing , 2005, 2005 IEEE International Conference on Granular Computing.

[9]  P. Rousseeuw,et al.  The Bagplot: A Bivariate Boxplot , 1999 .

[10]  Yao,et al.  A game-theoretic perspective on rough set analysis , 2008 .

[11]  Yoram Baram,et al.  Partial Classification: The Benefit of Deferred Decision , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Decui Liang,et al.  A novel three-way decision model based on incomplete information system , 2016, Knowl. Based Syst..

[13]  Jiye Liang,et al.  Decision-theoretic rough sets under dynamic granulation , 2016, Knowl. Based Syst..

[14]  Nouman Azam,et al.  Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets , 2014, Int. J. Approx. Reason..

[15]  Bing Huang,et al.  Sequential three-way decision and granulation for cost-sensitive face recognition , 2016, Knowl. Based Syst..

[16]  C B Schechter Sequential Analysis in a Bayesian Model of Diastolic Blood Pressure Measurement , 1988, Medical decision making : an international journal of the Society for Medical Decision Making.

[17]  Fan Min,et al.  Three-way recommender systems based on random forests , 2016, Knowl. Based Syst..

[18]  Yiyu Yao,et al.  Rough Sets and Three-Way Decisions , 2015, RSKT.

[19]  James F. Peters,et al.  Proximal three-way decisions: Theory and applications in social networks , 2016, Knowl. Based Syst..

[20]  Hong-Ying Zhang,et al.  Ranking interval sets based on inclusion measures and applications to three-way decisions , 2016, Knowl. Based Syst..

[21]  Jerzy W. Grzymala-Busse,et al.  Generalized probabilistic approximations of incomplete data , 2014, Int. J. Approx. Reason..

[22]  Hong Yu,et al.  A Three-Way Decisions Clustering Algorithm for Incomplete Data , 2014, RSKT.

[23]  Tianrui Li,et al.  THREE-WAY GOVERNMENT DECISION ANALYSIS WITH DECISION-THEORETIC ROUGH SETS , 2012 .

[24]  Nouman Azam,et al.  Web-Based Medical Decision Support Systems for Three-Way Medical Decision Making With Game-Theoretic Rough Sets , 2015, IEEE Transactions on Fuzzy Systems.

[25]  Ali Shakiba,et al.  S-approximation Spaces: A Three-way Decision Approach , 2015, Fundam. Informaticae.

[26]  Yiyu Yao,et al.  Interval-set algebra for qualitative knowledge representation , 1993, Proceedings of ICCI'93: 5th International Conference on Computing and Information.

[27]  Xiaofei Deng Three-Way Classification Models , 2015 .

[28]  Yiyu Yao,et al.  An Outline of a Theory of Three-Way Decisions , 2012, RSCTC.

[29]  Rob Goudey,et al.  Do statistical inferences allowing three alternative decisions give better feedback for environmentally precautionary decision-making? , 2007, Journal of environmental management.

[30]  Zhenmin Tang,et al.  On an optimization representation of decision-theoretic rough set model , 2014, Int. J. Approx. Reason..

[31]  Yan Zhang,et al.  Optimizing Gini coefficient of probabilistic rough set regions using Game-Theoretic Rough Sets , 2013, 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

[32]  Decui Liang,et al.  Deriving three-way decisions from intuitionistic fuzzy decision-theoretic rough sets , 2015, Inf. Sci..

[33]  Guoyin Wang,et al.  An automatic method to determine the number of clusters using decision-theoretic rough set , 2014, Int. J. Approx. Reason..

[34]  Yiyu Yao,et al.  Decision-Theoretic Rough Set Models , 2007, RSKT.

[35]  Yiyu Yao,et al.  A Multifaceted Analysis of Probabilistic Three-way Decisions , 2014, Fundam. Informaticae.

[36]  Bing Huang,et al.  Cost-Sensitive Three-Way Decision: A Sequential Strategy , 2013, RSKT.

[37]  Guoyin Wang,et al.  A tree-based incremental overlapping clustering method using the three-way decision theory , 2016, Knowl. Based Syst..

[38]  Kenneth V Iserson,et al.  Triage in medicine, part I: Concept, history, and types. , 2007, Annals of emergency medicine.

[39]  Yiyu Yao,et al.  Granular Computing and Sequential Three-Way Decisions , 2013, RSKT.

[40]  Witold Pedrycz,et al.  Three-way decisions based on decision-theoretic rough sets under linguistic assessment with the aid of group decision making , 2015, Appl. Soft Comput..

[41]  Decui Liang,et al.  Incorporating logistic regression to decision-theoretic rough sets for classifications , 2014, Int. J. Approx. Reason..

[42]  Vladik Kreinovich,et al.  Handbook of Granular Computing , 2008 .

[43]  Bing Zhou,et al.  Multi-class decision-theoretic rough sets , 2014, Int. J. Approx. Reason..