| 000 | 00981camuu2200265 a 4500 | |
| 001 | 000045223794 | |
| 005 | 20060223110632 | |
| 008 | 041117s2005 gw a b 001 0 eng | |
| 010 | ▼a 2004116660 | |
| 020 | ▼a 3540241167 (hd. bd.) | |
| 035 | ▼a (KERIS)REF000011495812 | |
| 040 | ▼a DLC ▼c DLC ▼d DLC ▼d 211009 | |
| 050 | 0 0 | ▼a QA402 ▼b .B8195 2005 |
| 082 | 0 0 | ▼a 003/.7 ▼2 22 |
| 090 | ▼a 003.7 ▼b B924s | |
| 100 | 1 | ▼a Buckley, James J. , ▼d 1936-. |
| 245 | 1 0 | ▼a Simulating fuzzy systems / ▼c James J. Buckley. |
| 260 | ▼a Berlin ; ▼a New York : ▼b Springer , ▼c c2005. | |
| 300 | ▼a xii, 208 p. : ▼b ill. ; ▼c 25 cm. | |
| 440 | 0 | ▼a Studies in fuzziness and soft computing , ▼x 1434-9922 ; ▼v v. 171 |
| 500 | ▼a This book is based on, but expanded from, several chapters of 3 recently published books by James J. Buckley. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Fuzzy systems ▼x Simulation methods. |
| 945 | ▼a KINS |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 003.7 B924s | 등록번호 121121632 (1회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Simulating Fuzzy Systems demonstrates how many systems naturally become fuzzy systems and shows how regular (crisp) simulation can be used to estimate the alpha-cuts of the fuzzy numbers used to analyze the behavior of the fuzzy system. This monograph presents a concise introduction to fuzzy sets, fuzzy logic, fuzzy estimation, fuzzy probabilities, fuzzy systems theory, and fuzzy computation. It also presents a wide selection of simulation applications ranging from emergency rooms to machine shops to project scheduling, showing the varieties of fuzzy systems.
Simulating Fuzzy Systems demonstrates how many systems naturally become fuzzy systems and shows how regular (crisp) simulation can be used to estimate the alpha-cuts of the fuzzy numbers used to analyze the behavior of the fuzzy system. This monograph presents a concise introduction to fuzzy sets, fuzzy logic, fuzzy estimation, fuzzy probabilities, fuzzy systems theory, and fuzzy computation. It also presents a wide selection of simulation applications ranging from emergency rooms to machine shops to project scheduling, showing the varieties of fuzzy systems.
New feature
Simulating Fuzzy Systems demonstrates how many systems naturally become fuzzy systems and shows how regular (crisp) simulation can be used to estimate the alpha-cuts of the fuzzy numbers used to analyze the behavior of the fuzzy system. This monograph presents a concise introduction to fuzzy sets, fuzzy logic, fuzzy estimation, fuzzy probabilities, fuzzy systems theory and fuzzy computation. It also presents a wide selection of simulation applications ranging from emergency rooms to machine shops to project scheduling showing the varieties of fuzzy systems.
정보제공 :
목차
Fuzzy Sets.- Fuzzy Estimation.-Fuzzy Probability Theory.- Fuzzy Systems Theory.- Simulation.- Queuing I: One-Step Calculations.- Simulation Optimization.- Queuing II: No One-Step Calculations.- Call Center Model.- Machine Shop I.- Machine Shop II.- Emergency Room Model.- Machine Servicing Problem.- Life Insurance: New Account Model.- Inventory Control I.- Inventory Control II.- Oil Tanker Problem.- Priority Queues.- Optimizing a Production Line.- Supermarket Model.- Bank Teller Problem.- A Bus Stop.- Process Failure/Spare Parts Problem.- Preemptive Service.- Project Network Model.- Summary and Conclusions.- Simulation Programs.
정보제공 :