Knowledge Engineering for Rough Sets Based Decision‐Making Models

In this paper, a review of decision‐making models based on the rough set theory is presented. The use of these techniques allows for the presence of uncertainty in computer models that are developed for decision making, and to formulate the decision‐making models using the experiences of previous decisions made. Since the formulation of these models differs from the classical approach of decision‐making models, in this paper, the models are analyzed and a method is proposed for its implementation.

[1]  S. K. Michael Wong,et al.  Rough Sets: Probabilistic versus Deterministic Approach , 1988, Int. J. Man Mach. Stud..

[2]  Tsau Young Lin,et al.  Rough Sets and Data Mining: Analysis of Imprecise Data , 1996 .

[3]  Z. Pawlak,et al.  A Rough Set Perspective on Data andKnowledge ? , 1999 .

[4]  C.J.H. Mann,et al.  Handbook of Data Mining and Knowledge Discovery , 2004 .

[5]  Francisco Herrera,et al.  Computing with words in decision making: foundations, trends and prospects , 2009, Fuzzy Optim. Decis. Mak..

[6]  Yiyu Yao,et al.  The superiority of three-way decisions in probabilistic rough set models , 2011, Inf. Sci..

[7]  David Banks,et al.  Games and Decisions , 2015 .

[8]  Francisco Herrera,et al.  A 2-tuple fuzzy linguistic representation model for computing with words , 2000, IEEE Trans. Fuzzy Syst..

[9]  Z. Pawlak,et al.  Rough sets perspective on data and knowledge , 2002 .

[10]  Da Ruan,et al.  Probabilistic model criteria with decision-theoretic rough sets , 2011, Inf. Sci..

[11]  Yongsheng Zhao,et al.  Rough Sets in Hybrid Soft Computing Systems , 2007, ADMA.

[12]  Wojciech Ziarko,et al.  Variable Precision Rough Set Model , 1993, J. Comput. Syst. Sci..

[13]  Chao-Ton Su,et al.  Precision parameter in the variable precision rough sets model: an application , 2006 .

[14]  Zhou Xianzhong,et al.  Two decades'research on decision-theoretic rough sets , 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).

[15]  Salvatore Greco,et al.  Parameterized rough set model using rough membership and Bayesian confirmation measures , 2008, Int. J. Approx. Reason..

[16]  Yiyu Yao,et al.  Three-way decisions with probabilistic rough sets , 2010, Inf. Sci..

[17]  Rafael Bello,et al.  Rough sets in the Soft Computing environment , 2012, Inf. Sci..

[18]  Salvatore Greco,et al.  Rough sets theory for multicriteria decision analysis , 2001, Eur. J. Oper. Res..

[19]  Thomas Whalen,et al.  Essentials of Decision Making Under Generalized Uncertainty , 1988 .

[20]  Yiyu Yao,et al.  Three-Way Decision: An Interpretation of Rules in Rough Set Theory , 2009, RSKT.

[21]  Qinghua Hu,et al.  Fuzzy preference based rough sets , 2010, Inf. Sci..

[22]  Stuart C. Shapiro,et al.  Encyclopedia of artificial intelligence, vols. 1 and 2 (2nd ed.) , 1992 .

[23]  Jean-Charles Pomerol,et al.  Artificial intelligence and human decision making , 1997 .

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

[25]  Joseph P. Herbert,et al.  Criteria for choosing a rough set model , 2009, Comput. Math. Appl..

[26]  Yiyu Yao,et al.  A Decision Theoretic Framework for Approximating Concepts , 1992, Int. J. Man Mach. Stud..

[27]  Piero P. Bonissone,et al.  On heuristics as a fundamental constituent of soft computing , 2008, Fuzzy Sets Syst..

[28]  Malcolm J. Beynon,et al.  Reducts within the variable precision rough sets model: A further investigation , 2001, Eur. J. Oper. Res..

[29]  Lotfi A. Zadeh,et al.  Soft computing and fuzzy logic , 1994, IEEE Software.

[30]  Chuen-Tsai Sun,et al.  Neuro-fuzzy And Soft Computing: A Computational Approach To Learning And Machine Intelligence [Books in Brief] , 1997, IEEE Transactions on Neural Networks.

[31]  Yiyu Yao,et al.  Probabilistic approaches to rough sets , 2003, Expert Syst. J. Knowl. Eng..

[32]  Wojciech Ziarko,et al.  Probabilistic approach to rough sets , 2008, Int. J. Approx. Reason..

[33]  Huaxiong Li,et al.  A Multi-View Decision Model Based on Decision-Theoretic Rough Set , 2009, RSKT.

[34]  Witold Pedrycz,et al.  Fuzzy logic-based generalized decision theory with imperfect information , 2012, Inf. Sci..

[35]  J. Kacprzyk,et al.  Combining Fuzzy Imprecision With Probabilistic Uncertainty in Decision Making , 1988 .

[36]  Tsau Young Lin,et al.  A Review of Rough Set Models , 1997 .