Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583605
Chao-Ming Huang, Hong-Tzer Yang, C. Huang
A fuzzy bi-objective decision approach is presented to solve the power dispatch problem regarding both minimum fuel cost and minimum environmental impact of NO/sub x/ emission. Based on the fuzzy utility functions of system operators and a fuzzy satisfaction-maximizing scheme, a set of non-inferior solutions are obtained. For each non-inferior solution, the associated marginal rate of substitution (MRS) is then calculated to help the operators more rationally determine the weight factors of the objectives considered, and hence the final best compromise solution. Numerical results of the IEEE 30-bus test systems are presented to demonstrate the proposed fuzzy bi-objective decision approach.
{"title":"A fuzzy bi-objective decision method for dispatch of electrical power load","authors":"Chao-Ming Huang, Hong-Tzer Yang, C. Huang","doi":"10.1109/AFSS.1996.583605","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583605","url":null,"abstract":"A fuzzy bi-objective decision approach is presented to solve the power dispatch problem regarding both minimum fuel cost and minimum environmental impact of NO/sub x/ emission. Based on the fuzzy utility functions of system operators and a fuzzy satisfaction-maximizing scheme, a set of non-inferior solutions are obtained. For each non-inferior solution, the associated marginal rate of substitution (MRS) is then calculated to help the operators more rationally determine the weight factors of the objectives considered, and hence the final best compromise solution. Numerical results of the IEEE 30-bus test systems are presented to demonstrate the proposed fuzzy bi-objective decision approach.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131306396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583643
J. Chou, Shinn-Horng Chen
We present a new stability criterion to analyze the stability of the discrete TS (Takagi and Sugeno, 1985) fuzzy dynamic model by which nonlinear systems can be identified precisely. This proposed stability criterion does not need a positive definite matrix solution of Lyapunov equations or a Lyapunov equation such that sufficient stability conditions are satisfied for every IF-THEN rule. Therefore this stability criterion enables us to check the stability of the discrete TS fuzzy model with less computation. A simple example is included to illustrate an application of the proposed method.
我们提出了一种新的稳定性准则来分析离散TS (Takagi and Sugeno, 1985)模糊动态模型的稳定性，该模型可以精确地识别非线性系统。该稳定性判据不需要Lyapunov方程的正定矩阵解，也不需要Lyapunov方程满足每个IF-THEN规则的充分稳定性条件。因此，该稳定性判据使我们能够以较少的计算量来检验离散TS模糊模型的稳定性。最后以一个简单的例子说明了该方法的应用。
{"title":"Stability analysis of the discrete Takagi-Sugeno fuzzy model","authors":"J. Chou, Shinn-Horng Chen","doi":"10.1109/AFSS.1996.583643","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583643","url":null,"abstract":"We present a new stability criterion to analyze the stability of the discrete TS (Takagi and Sugeno, 1985) fuzzy dynamic model by which nonlinear systems can be identified precisely. This proposed stability criterion does not need a positive definite matrix solution of Lyapunov equations or a Lyapunov equation such that sufficient stability conditions are satisfied for every IF-THEN rule. Therefore this stability criterion enables us to check the stability of the discrete TS fuzzy model with less computation. A simple example is included to illustrate an application of the proposed method.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129548749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583638
W. Chang, W. Chiang, C. Ouyang, W. Hsu, C. W. Hou
An anaerobic/aerobic activated sludge system under dynamic loading is difficult to automatically control due to its ill-defined non-linear, and complex behavior. This study demonstrates the merits of a real-time fuzzy logic controller for such control purposes by comparing it with a conventional proportional (F/M)/sub an/ controller. Using the conventional system alongside our proposed system continuous-flow pilot plant experiments with automatic monitoring and control facilities were carried out. Five effluent parameters (dissolved COD, dissolved P, total SS, total COD, and total P) were utilized to evaluate their dynamic system performance. Experimental results indicate that, compared to conventional (F/M)an control. Fuzzy logic control significantly improve the effluent concentration.
{"title":"Fuzzy logic control of dynamic anaerobic/aerobic activated sludge system","authors":"W. Chang, W. Chiang, C. Ouyang, W. Hsu, C. W. Hou","doi":"10.1109/AFSS.1996.583638","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583638","url":null,"abstract":"An anaerobic/aerobic activated sludge system under dynamic loading is difficult to automatically control due to its ill-defined non-linear, and complex behavior. This study demonstrates the merits of a real-time fuzzy logic controller for such control purposes by comparing it with a conventional proportional (F/M)/sub an/ controller. Using the conventional system alongside our proposed system continuous-flow pilot plant experiments with automatic monitoring and control facilities were carried out. Five effluent parameters (dissolved COD, dissolved P, total SS, total COD, and total P) were utilized to evaluate their dynamic system performance. Experimental results indicate that, compared to conventional (F/M)an control. Fuzzy logic control significantly improve the effluent concentration.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133965243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583594
Yann-Chang Huang, Hong-Tzer Yang, C. Huang
To improve the diagnosis accuracy of conventional dissolved gas analysis (DGA) approaches, this paper proposes an evolutionary programming (EP) based fuzzy system development technique to identify the incipient faults of the power transformers. In comparison to results of the conventional DGA and artificial neural network (ANN) classification methods, the proposed method has been verified to possess superior performance both in developing the diagnosis system and in identifying the practical transformer fault cases.
{"title":"An evolutionary computation based fuzzy fault diagnosis system for a power transformer","authors":"Yann-Chang Huang, Hong-Tzer Yang, C. Huang","doi":"10.1109/AFSS.1996.583594","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583594","url":null,"abstract":"To improve the diagnosis accuracy of conventional dissolved gas analysis (DGA) approaches, this paper proposes an evolutionary programming (EP) based fuzzy system development technique to identify the incipient faults of the power transformers. In comparison to results of the conventional DGA and artificial neural network (ANN) classification methods, the proposed method has been verified to possess superior performance both in developing the diagnosis system and in identifying the practical transformer fault cases.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129614928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583641
Chuan-Kai Lin, Sheng-De Wang
An approach using wavelet transforms to construct a fuzzy model is proposed. This paper shows that a fuzzy inference system with some minor restrictions and modifications can function as a discrete wavelet transform. In the proposed fuzzy inference system, each fuzzy rule is analogous to a wavelet basis function multiplied by a coefficient. Due to the functional equivalence between wavelet transforms and fuzzy inference systems, the fuzzy inference system can share the advantages of wavelet transforms.
{"title":"Constructing a fuzzy model from wavelet transforms","authors":"Chuan-Kai Lin, Sheng-De Wang","doi":"10.1109/AFSS.1996.583641","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583641","url":null,"abstract":"An approach using wavelet transforms to construct a fuzzy model is proposed. This paper shows that a fuzzy inference system with some minor restrictions and modifications can function as a discrete wavelet transform. In the proposed fuzzy inference system, each fuzzy rule is analogous to a wavelet basis function multiplied by a coefficient. Due to the functional equivalence between wavelet transforms and fuzzy inference systems, the fuzzy inference system can share the advantages of wavelet transforms.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133066772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583592
C. Cheng, C. Hsieh, S.N. Wang
This article aims to investigate the input-output parametric relationship of the crisp-type fuzzy logic controller (FLC) using the product-sum-gravity inference method, where the algebraic product, the summation, and the center-of-gravity method are selected to evaluate the final crisp output of the FLC. The explicit mathematical form of the reasoning surface is addressed and discussed. The local stability criteria for the PI-mode fuzzy control system is also investigated.
{"title":"Analysis of the fuzzy logic controller using product-sum-gravity inference method","authors":"C. Cheng, C. Hsieh, S.N. Wang","doi":"10.1109/AFSS.1996.583592","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583592","url":null,"abstract":"This article aims to investigate the input-output parametric relationship of the crisp-type fuzzy logic controller (FLC) using the product-sum-gravity inference method, where the algebraic product, the summation, and the center-of-gravity method are selected to evaluate the final crisp output of the FLC. The explicit mathematical form of the reasoning surface is addressed and discussed. The local stability criteria for the PI-mode fuzzy control system is also investigated.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133283441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583578
H. Nakajima
There are many activities of both technology and its application in data mining and knowledge discovery in database area. In this paper, actual applications of data mining are presented from its development point of view, and a generalized conceptual model of data mining is proposed. Additionally, to make the data mining process more applicable, important notes at the performing process against real world problems are discussed.
{"title":"Fuzzy logic and data mining","authors":"H. Nakajima","doi":"10.1109/AFSS.1996.583578","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583578","url":null,"abstract":"There are many activities of both technology and its application in data mining and knowledge discovery in database area. In this paper, actual applications of data mining are presented from its development point of view, and a generalized conceptual model of data mining is proposed. Additionally, to make the data mining process more applicable, important notes at the performing process against real world problems are discussed.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116291770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583571
G. Tzeng, Jen-Jia Lin
New development planning areas, like new towns and new communities, usually ignore the layout of location for emergency facilities, like police station, hospital and fire station, beforehand. Such remissness is harmful to people's life and property. We adopt the ideal of backup coverage to expand the BACOP1 model to the BACOP1-m model with m+1 objectives in the 0-1 integer programming model to analyze the emergency facilities layout of a new development planning area. In the process of analysis, the TOPSIS multiobjective programming approach was suggested to obtain non inferior solutions. Finally, a case study for fire station layout in Tanhai new town is shown. Five alternatives, including different amounts and layouts were obtained by using the different weights for objectives. The results can prove the usefulness of the model and provide a basis for the evaluating process.
{"title":"Using backup coverage and TOPSIS fuzzy approach to emergency facilities layout in new development planning area","authors":"G. Tzeng, Jen-Jia Lin","doi":"10.1109/AFSS.1996.583571","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583571","url":null,"abstract":"New development planning areas, like new towns and new communities, usually ignore the layout of location for emergency facilities, like police station, hospital and fire station, beforehand. Such remissness is harmful to people's life and property. We adopt the ideal of backup coverage to expand the BACOP1 model to the BACOP1-m model with m+1 objectives in the 0-1 integer programming model to analyze the emergency facilities layout of a new development planning area. In the process of analysis, the TOPSIS multiobjective programming approach was suggested to obtain non inferior solutions. Finally, a case study for fire station layout in Tanhai new town is shown. Five alternatives, including different amounts and layouts were obtained by using the different weights for objectives. The results can prove the usefulness of the model and provide a basis for the evaluating process.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114616964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583679
Xu Xiaoquan, Liu Yingming
The main purpose of the paper is to study under which conditions the interval topology on a T/sub 1/-lattice may be Hausdorff. The authors show that for a T/sub 1/-lattice L, the interval topology on L cannot be Hausdorff except in the extreme case that L is isomorphic to the power set of some set X. Similarly, for a T/sub 1/-space (X, /spl part/(X)), the interval topology on /spl part/(X) cannot be Hausdorff except in the extreme case that (X. /spl part/(X)) is discrete.
{"title":"The interval topology on T/sub 1/-lattices","authors":"Xu Xiaoquan, Liu Yingming","doi":"10.1109/AFSS.1996.583679","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583679","url":null,"abstract":"The main purpose of the paper is to study under which conditions the interval topology on a T/sub 1/-lattice may be Hausdorff. The authors show that for a T/sub 1/-lattice L, the interval topology on L cannot be Hausdorff except in the extreme case that L is isomorphic to the power set of some set X. Similarly, for a T/sub 1/-space (X, /spl part/(X)), the interval topology on /spl part/(X) cannot be Hausdorff except in the extreme case that (X. /spl part/(X)) is discrete.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128233719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583566
Chin-Teng Lin, Chia-Feng Juang, Chung-Ping Li
We propose a neural fuzzy inference network (NFIN) suitable for adaptive temperature control of a water bath system. The rules in the NFIN are created and adapted as online learning proceeds via simultaneous structure and parameter identification. The NFIN has been applied to a practical water bath temperature control system. The performance of the NFIN is compared to that of the PID controller and fuzzy logic controller (FLC) on the water bath temperature control system. The three control schemes are compared through experimental studies. It is found that the proposed NFIN control scheme has the best control performance among the three control schemes.
{"title":"Temperature control with a neural fuzzy inference network","authors":"Chin-Teng Lin, Chia-Feng Juang, Chung-Ping Li","doi":"10.1109/AFSS.1996.583566","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583566","url":null,"abstract":"We propose a neural fuzzy inference network (NFIN) suitable for adaptive temperature control of a water bath system. The rules in the NFIN are created and adapted as online learning proceeds via simultaneous structure and parameter identification. The NFIN has been applied to a practical water bath temperature control system. The performance of the NFIN is compared to that of the PID controller and fuzzy logic controller (FLC) on the water bath temperature control system. The three control schemes are compared through experimental studies. It is found that the proposed NFIN control scheme has the best control performance among the three control schemes.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133777376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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