Thisbookistheproceedingsofthe5thAnnualConferenceonFuzzyInfor- tionandEngineering(ACFIE2010)fromSep. 23-27,2010in Huludao,China. The conference proceedings is published by Springer-Verlag (Advances in - telligent and Soft Computing, ISSN: 1867-5662). Thisyear,wehavereceivedmorethan191submissions.Eachpaperhas- dergonearigorousreviewprocess.Onlyhigh-qualitypapersareincluded.The 5thAnnualConferenceonFuzzyInformationandEngineering(ACFIE2010), built on the success of previous conferences, the ACFIE2005 (Guangzhou, China), is a major symposium for scientists, engineers and practitioners in China to present their updated results, ideas, developments and applications in all areas of fuzzy information and engineering. It aims to strengthen re- tions between industry research laboratories and universities, and to create a primary symposium for world scientistsinfuzzy?eldsasfollows: 1) The mathematical theory of fuzzy systems; 2) Fuzzy logic, systems and control; 3) Fuzzy optimization and decision-making; 4) Fuzzy information, identi?cation and clustering; 5) Fuzzy engineering application and soft computing method; etc. This book contains 89 papers, divided into ?ve main parts: In Section I, we have 15 papers on "the mathematical theory of fuzzy systems".In Section II, we have 15 papers on "fuzzy logic, systems and control". In Section III, we have 24 papers on "fuzzy optimization and decisi- making". In Section IV, we have 17 papers on "fuzzy information, identi?cation and clustering". In SectionV, wehave18 papers on"fuzzy engineeringapplicationandsoft computing method". VI Preface In addition to the large number of submissions, we are blessed with the presence of eight renowned keynote speakers and several distinguished p- elists and we shall organize workshops.

Admittedly, the notion “intelligence or intelligent computing” has been around us for several decades, implicitly indicating any non-conventional methods of solving complex system problems such as expert systems and intelligent control techniques that mimic human skill and replace human operators for automation. Various kinds of intelligent methods have been suggested, phenomenological or ontological, and we have been witnessing quite successful applications. On the other hand, “Soft Computing Techniques” is the concept coined by Lot? Zadeh, referring to “a set of approaches of computing which parallels the remarkable ability of the human mind to reason and learn in an environment of uncertainty, imprecision and partial truth. ” Such a notion is well contrasted with the conventionalbinary logic based hard c- puting and has been effectively utilized with the guiding principle of “exploiting the tolerance for uncertainty,imprecision and partial truth to achieve tractability, - bustness and low solution cost. ” The soft computing techniques are often employed as the technical entities in a tool box with tools being FL, ANN, Rough Set, GA etc. Based on one’s intuition and experience, an engineer can build and realize hum- like systems by smartly mixing proper technical tools effectivelyand ef?ciently in a wide range of ?elds. For some time, the soft computing techniques are also referred to as intelligent computing tools.

Thisbookistheproceedingsofthe5thAnnualConferenceonFuzzyInfor- tionandEngineering(ACFIE2010)fromSep. 23-27,2010in Huludao,China. The conference proceedings is published by Springer-Verlag (Advances in - telligent and Soft Computing, ISSN: 1867-5662). Thisyear,wehavereceivedmorethan191submissions.Eachpaperhas- dergonearigorousreviewprocess.Onlyhigh-qualitypapersareincluded.The 5thAnnualConferenceonFuzzyInformationandEngineering(ACFIE2010), built on the success of previous conferences, the ACFIE2005 (Guangzhou, China), is a major symposium for scientists, engineers and practitioners in China to present their updated results, ideas, developments and applications in all areas of fuzzy information and engineering. It aims to strengthen re- tions between industry research laboratories and universities, and to create a primary symposium for world scientistsinfuzzy?eldsasfollows: 1) The mathematical theory of fuzzy systems; 2) Fuzzy logic, systems and control; 3) Fuzzy optimization and decision-making; 4) Fuzzy information, identi?cation and clustering; 5) Fuzzy engineering application and soft computing method; etc. This book contains 89 papers, divided into ?ve main parts: In Section I, we have 15 papers on "the mathematical theory of fuzzy systems".In Section II, we have 15 papers on "fuzzy logic, systems and control". In Section III, we have 24 papers on "fuzzy optimization and decisi- making". In Section IV, we have 17 papers on "fuzzy information, identi?cation and clustering". In SectionV, wehave18 papers on"fuzzy engineeringapplicationandsoft computing method". VI Preface In addition to the large number of submissions, we are blessed with the presence of eight renowned keynote speakers and several distinguished p- elists and we shall organize workshops.

Admittedly, the notion “intelligence or intelligent computing” has been around us for several decades, implicitly indicating any non-conventional methods of solving complex system problems such as expert systems and intelligent control techniques that mimic human skill and replace human operators for automation. Various kinds of intelligent methods have been suggested, phenomenological or ontological, and we have been witnessing quite successful applications. On the other hand, “Soft Computing Techniques” is the concept coined by Lot? Zadeh, referring to “a set of approaches of computing which parallels the remarkable ability of the human mind to reason and learn in an environment of uncertainty, imprecision and partial truth. ” Such a notion is well contrasted with the conventionalbinary logic based hard c- puting and has been effectively utilized with the guiding principle of “exploiting the tolerance for uncertainty,imprecision and partial truth to achieve tractability, - bustness and low solution cost. ” The soft computing techniques are often employed as the technical entities in a tool box with tools being FL, ANN, Rough Set, GA etc. Based on one’s intuition and experience, an engineer can build and realize hum- like systems by smartly mixing proper technical tools effectivelyand ef?ciently in a wide range of ?elds. For some time, the soft computing techniques are also referred to as intelligent computing tools.