Pub Date : 2003-05-25DOI: 10.1109/FUZZ.2003.1206615
P. Gader
An interpretation of continuous Choquet integrals with respect to random sets is given in the context of image filtering and shape detection. In this context, random sets represent random shapes defined on the plane. Random sets are characterized by their capacity functionals. Capacity functionals are fuzzy measures. Thus, input images can be integrated with respect to random sets. In this paper, input images are represented as fuzzy sets. The integration is interpreted in the context of mathematical morphology as the average a generalization morphological dilation or erosion. Specifically, the integrals represent the average probability that sets either intersect or are contained in the random sets, the average being over the alpha cuts of the input image. This interpretation has the potential for deriving new learning algorithms for using Choquet integrals in shape detection.
{"title":"Continuous Choquet integrals with respect to random sets","authors":"P. Gader","doi":"10.1109/FUZZ.2003.1206615","DOIUrl":"https://doi.org/10.1109/FUZZ.2003.1206615","url":null,"abstract":"An interpretation of continuous Choquet integrals with respect to random sets is given in the context of image filtering and shape detection. In this context, random sets represent random shapes defined on the plane. Random sets are characterized by their capacity functionals. Capacity functionals are fuzzy measures. Thus, input images can be integrated with respect to random sets. In this paper, input images are represented as fuzzy sets. The integration is interpreted in the context of mathematical morphology as the average a generalization morphological dilation or erosion. Specifically, the integrals represent the average probability that sets either intersect or are contained in the random sets, the average being over the alpha cuts of the input image. This interpretation has the potential for deriving new learning algorithms for using Choquet integrals in shape detection.","PeriodicalId":212172,"journal":{"name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116195546","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 : 2003-05-25DOI: 10.1109/FUZZ.2003.1206626
H. Ho, Y. Wong, A. Rad
In this paper, we develop a fuzzy logic system with sliding mode control for unknown nonlinear system. First, an observer for unknown tracking error is designed to obtain a sliding surface. Furthermore, the fuzzy system are employed to approximate the unknown nonlinear functions with e-modification learning laws to ensure the boundedness of estimated parameters. It is proved that the overall adaptive scheme guarantees the ultimately bounded tracking in the Lyapunov sense. Simulation studies have shown that the propose control algorithm performs well in tracking performance.
{"title":"Adaptive fuzzy sliding mode control for SISO nonlinear systems","authors":"H. Ho, Y. Wong, A. Rad","doi":"10.1109/FUZZ.2003.1206626","DOIUrl":"https://doi.org/10.1109/FUZZ.2003.1206626","url":null,"abstract":"In this paper, we develop a fuzzy logic system with sliding mode control for unknown nonlinear system. First, an observer for unknown tracking error is designed to obtain a sliding surface. Furthermore, the fuzzy system are employed to approximate the unknown nonlinear functions with e-modification learning laws to ensure the boundedness of estimated parameters. It is proved that the overall adaptive scheme guarantees the ultimately bounded tracking in the Lyapunov sense. Simulation studies have shown that the propose control algorithm performs well in tracking performance.","PeriodicalId":212172,"journal":{"name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126643708","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 : 2003-05-25DOI: 10.1109/FUZZ.2003.1209401
Hock-Leong Tan, N. Rahim, W. Hew
Conventional fuzzy logic controller uses input membership functions that consist of identical triangular input membership functions (MF) for all the subsets that are not located at the two ends of the universal set (center width constant or CWC). Some researchers in the field of motor controllers have started using narrower base triangular membership functions for the input subsets that are located at the center of the universal set and wider base triangles towards the two ends of the universal set (center width narrow or CWN). This new approach has proved to enhance the performance of the controller. This paper proposed a dynamic input membership function scheme which combines the center width narrow and the center width constant scheme together with a new scheme where the center triangular input membership functions has a wider width than those that are located more towards the two ends of the input universal set (center width wide or CWW). The dynamic input membership scheme (DIMS) applies CWN, CWC and CWW at different stages of the transient states of the controller step response to achieve a superior step response for a DC motor controller as compared to applications of only one type of input membership functions throughout the controller operation. Matlab simulation studies have been done to confirm the improved performance of the dynamic input membership functions as compared to the other schemes commonly employed.
{"title":"A dynamic input membership scheme for a fuzzy logic DC motor controller","authors":"Hock-Leong Tan, N. Rahim, W. Hew","doi":"10.1109/FUZZ.2003.1209401","DOIUrl":"https://doi.org/10.1109/FUZZ.2003.1209401","url":null,"abstract":"Conventional fuzzy logic controller uses input membership functions that consist of identical triangular input membership functions (MF) for all the subsets that are not located at the two ends of the universal set (center width constant or CWC). Some researchers in the field of motor controllers have started using narrower base triangular membership functions for the input subsets that are located at the center of the universal set and wider base triangles towards the two ends of the universal set (center width narrow or CWN). This new approach has proved to enhance the performance of the controller. This paper proposed a dynamic input membership function scheme which combines the center width narrow and the center width constant scheme together with a new scheme where the center triangular input membership functions has a wider width than those that are located more towards the two ends of the input universal set (center width wide or CWW). The dynamic input membership scheme (DIMS) applies CWN, CWC and CWW at different stages of the transient states of the controller step response to achieve a superior step response for a DC motor controller as compared to applications of only one type of input membership functions throughout the controller operation. Matlab simulation studies have been done to confirm the improved performance of the dynamic input membership functions as compared to the other schemes commonly employed.","PeriodicalId":212172,"journal":{"name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128053365","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 : 2003-05-25DOI: 10.1109/FUZZ.2003.1209402
Yue Wu, A. Dexter
The paper considers the types of non-linear dynamic systems that can be modeled ideally using a fuzzy relational model. It is shown that it is possible to find values of the rule confidences that guarantee there are no prediction errors at the centres or the input sets, if the behaviour of the non-linear dynamic system can be described by a Hammerstein model. An expression for the maximum prediction error is also derived. Results are presented which demonstrate that a fuzzy relational model with "ideal" values for its rule confidences can accurately describe the non-linear dynamic operation of a simulated cooling coil. Results are also presented that show how the "ideal" values of the rule confidences can be used to assess the performance of on-line fuzzy identification schemes and evaluate the quality of different sets of training data.
{"title":"Modelling capabilities of fuzzy relational models","authors":"Yue Wu, A. Dexter","doi":"10.1109/FUZZ.2003.1209402","DOIUrl":"https://doi.org/10.1109/FUZZ.2003.1209402","url":null,"abstract":"The paper considers the types of non-linear dynamic systems that can be modeled ideally using a fuzzy relational model. It is shown that it is possible to find values of the rule confidences that guarantee there are no prediction errors at the centres or the input sets, if the behaviour of the non-linear dynamic system can be described by a Hammerstein model. An expression for the maximum prediction error is also derived. Results are presented which demonstrate that a fuzzy relational model with \"ideal\" values for its rule confidences can accurately describe the non-linear dynamic operation of a simulated cooling coil. Results are also presented that show how the \"ideal\" values of the rule confidences can be used to assess the performance of on-line fuzzy identification schemes and evaluate the quality of different sets of training data.","PeriodicalId":212172,"journal":{"name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125994033","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 : 2003-05-25DOI: 10.1109/FUZZ.2003.1209389
P. Guo, Y. Chen
In this paper, the uncertainty of market of new products with short life cycle is characterized by possibility distribution. The possibilistic model for the newsboy problem, a one-shoot decision situation, is proposed. The new model is different significantly from the conventional newsboy model based on probability distribution in which maximizing expected utility is the goal.
{"title":"Newsboy problem with possibilistic information","authors":"P. Guo, Y. Chen","doi":"10.1109/FUZZ.2003.1209389","DOIUrl":"https://doi.org/10.1109/FUZZ.2003.1209389","url":null,"abstract":"In this paper, the uncertainty of market of new products with short life cycle is characterized by possibility distribution. The possibilistic model for the newsboy problem, a one-shoot decision situation, is proposed. The new model is different significantly from the conventional newsboy model based on probability distribution in which maximizing expected utility is the goal.","PeriodicalId":212172,"journal":{"name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126787421","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 : 2003-05-25DOI: 10.1109/FUZZ.2003.1206635
Hongbo Liu, Shaoyuan Li, T. Chai
This paper presents the new development of the boiler-turbine coordinated control system using fuzzy reasoning and auto-tuning techniques. The boiler-turbine system is a very complex process which is a multivariable, nonlinear, slowly time-varying plant with large settling time and a lot of uncertainties. A special subclass of fuzzy inference systems, called the GPE(Gaussian partition with evenly spaced midpoints) systems, is used to self-tune the main steam pressure PID controller's parameters on-line based on the error signal and its first difference, aimed at overcoming the uncertainties due to changing fuel calorific value, machine wear, contamination of the boiler heating surfaces and plant modeling errors. For the large variation of operating condition, a supervisory control level has been developed by auto-tuning technique. Satisfactory industrial application results show that such a control system has enhanced adaptability and robustness to the complex process, and better control performance and high economic benefit has been obtained.
{"title":"Control of power-plant main steam pressure and power output based on fuzzy reasoning and auto-tuning","authors":"Hongbo Liu, Shaoyuan Li, T. Chai","doi":"10.1109/FUZZ.2003.1206635","DOIUrl":"https://doi.org/10.1109/FUZZ.2003.1206635","url":null,"abstract":"This paper presents the new development of the boiler-turbine coordinated control system using fuzzy reasoning and auto-tuning techniques. The boiler-turbine system is a very complex process which is a multivariable, nonlinear, slowly time-varying plant with large settling time and a lot of uncertainties. A special subclass of fuzzy inference systems, called the GPE(Gaussian partition with evenly spaced midpoints) systems, is used to self-tune the main steam pressure PID controller's parameters on-line based on the error signal and its first difference, aimed at overcoming the uncertainties due to changing fuel calorific value, machine wear, contamination of the boiler heating surfaces and plant modeling errors. For the large variation of operating condition, a supervisory control level has been developed by auto-tuning technique. Satisfactory industrial application results show that such a control system has enhanced adaptability and robustness to the complex process, and better control performance and high economic benefit has been obtained.","PeriodicalId":212172,"journal":{"name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124371449","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 : 2003-05-25DOI: 10.1109/FUZZ.2003.1206553
S. Romaní, P. Sobrevilla, E. Montseny
In a previous work, we introduced a fuzzy-based color image segmentation method for detecting the "relevant colors" of an image, founded on color histogram analysis. The present paper outlines the whole process and introduces the construction of a new fuzzy paradigm-based color histogram, which uses color components' stability degrees to modify a set of histogram positions according to the uncertainty of the pixel color components. The processing of such histogram provides a group of fuzzy sets that fit the number and domain of image's relevant colors better than the processing of the traditional color histogram. Moreover, the image segmentation results are more similar to the human visual perception of the scene.
{"title":"Obtaining the relevant colors of an image through stability-based fuzzy color histograms","authors":"S. Romaní, P. Sobrevilla, E. Montseny","doi":"10.1109/FUZZ.2003.1206553","DOIUrl":"https://doi.org/10.1109/FUZZ.2003.1206553","url":null,"abstract":"In a previous work, we introduced a fuzzy-based color image segmentation method for detecting the \"relevant colors\" of an image, founded on color histogram analysis. The present paper outlines the whole process and introduces the construction of a new fuzzy paradigm-based color histogram, which uses color components' stability degrees to modify a set of histogram positions according to the uncertainty of the pixel color components. The processing of such histogram provides a group of fuzzy sets that fit the number and domain of image's relevant colors better than the processing of the traditional color histogram. Moreover, the image segmentation results are more similar to the human visual perception of the scene.","PeriodicalId":212172,"journal":{"name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124386095","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 : 2003-05-25DOI: 10.1109/FUZZ.2003.1209351
O. Nasraoui, Carlos Rojas, Cesar Cardona, D. Dasgupta
Many real world problems are dynamic in nature, and they deal with changing environments or objective functions. Dynamic objective functions can make the evolutionary search tedious or unsuccessful for Genetic Algorithms. Some work has focused on altering the evolutionary process, including the selection strategy, genetic operators, replacement strategy, or fitness modification. While other work focused on the concept of genotype to phenotype mapping or gene expression. This line of work includes models based on diploidy and dominance, messy GAs, proportional GA, overlapping genes such as in DNA coding method, the floating point representation, and the structured GA. In particular, the structured GA uses a simple structured hierarchical chromosome representation, where lower level genes are collectively switched on or off by specific higher level genes. Genes that are switched on are expressed into the final phenotype, while genes that are switched off do not contribute to coding the phenotype. We have recently proposed a modification of the sGA based on the concept of soft activation mechanism. The lower level genes are no longer limited to total expression or to none. Instead, they can be expressed to different gradual degrees. The soft structured Genetic Algorithm (s/sup 2/GA) inherits all the advantages of its crisp (non-fuzzy) counterpart (sGA), and possesses several additional unique features compared to the sGA and other GA based techniques. In this paper, we empirically demonstrate several strengths of the S/sup 2/GA approach with regard to non-stationary objective function optimization.
{"title":"Soft multiple expression and genetic redundancy: preliminary results for non-stationary function optimization","authors":"O. Nasraoui, Carlos Rojas, Cesar Cardona, D. Dasgupta","doi":"10.1109/FUZZ.2003.1209351","DOIUrl":"https://doi.org/10.1109/FUZZ.2003.1209351","url":null,"abstract":"Many real world problems are dynamic in nature, and they deal with changing environments or objective functions. Dynamic objective functions can make the evolutionary search tedious or unsuccessful for Genetic Algorithms. Some work has focused on altering the evolutionary process, including the selection strategy, genetic operators, replacement strategy, or fitness modification. While other work focused on the concept of genotype to phenotype mapping or gene expression. This line of work includes models based on diploidy and dominance, messy GAs, proportional GA, overlapping genes such as in DNA coding method, the floating point representation, and the structured GA. In particular, the structured GA uses a simple structured hierarchical chromosome representation, where lower level genes are collectively switched on or off by specific higher level genes. Genes that are switched on are expressed into the final phenotype, while genes that are switched off do not contribute to coding the phenotype. We have recently proposed a modification of the sGA based on the concept of soft activation mechanism. The lower level genes are no longer limited to total expression or to none. Instead, they can be expressed to different gradual degrees. The soft structured Genetic Algorithm (s/sup 2/GA) inherits all the advantages of its crisp (non-fuzzy) counterpart (sGA), and possesses several additional unique features compared to the sGA and other GA based techniques. In this paper, we empirically demonstrate several strengths of the S/sup 2/GA approach with regard to non-stationary objective function optimization.","PeriodicalId":212172,"journal":{"name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123752155","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 : 2003-05-25DOI: 10.1109/FUZZ.2003.1209427
Mei‐Fang Chen, G. Tzeng, Cherng G. Ding
Investigators have shown that service quality perceptions are multi-dimensional and multi-leveled. However, from the strategic and competitive points of view, marketers would like to know which service quality dimensions or levels are more important when a customer evaluates the quality of service they provide. Since service quality is basically determined by subjective perceptions and feelings towards each of the evaluated criteria, the fuzzy MCDM (Fuzzy Multiple Criteria Decision Making, FMCDM) approach can explain more effectively how customers make their evaluation of service quality and select the service provider, and is recommended for practical use. The approach is illustrated using an empirical example in the fast food industry. The results demonstrate the applicability and usefulness of this approach.
{"title":"Fuzzy MCDM approach to select service provider","authors":"Mei‐Fang Chen, G. Tzeng, Cherng G. Ding","doi":"10.1109/FUZZ.2003.1209427","DOIUrl":"https://doi.org/10.1109/FUZZ.2003.1209427","url":null,"abstract":"Investigators have shown that service quality perceptions are multi-dimensional and multi-leveled. However, from the strategic and competitive points of view, marketers would like to know which service quality dimensions or levels are more important when a customer evaluates the quality of service they provide. Since service quality is basically determined by subjective perceptions and feelings towards each of the evaluated criteria, the fuzzy MCDM (Fuzzy Multiple Criteria Decision Making, FMCDM) approach can explain more effectively how customers make their evaluation of service quality and select the service provider, and is recommended for practical use. The approach is illustrated using an empirical example in the fast food industry. The results demonstrate the applicability and usefulness of this approach.","PeriodicalId":212172,"journal":{"name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121668210","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 : 2003-05-25DOI: 10.1109/FUZZ.2003.1209344
Alexandre Piskounov
Fuzzy rule-based models play an important role both in control and decision-making. In the latter case because of decision-maker involvement, fuzzy inputs and outputs not only allowed but also required. In spite of such differences of these two problems rule-based models for decision-making are designed and implemented in the same way as in control. Some issues specific for rule-based decision-making models are discussed, including rule-base consistency.
{"title":"Fuzzy rule-based models: decision-making vs control","authors":"Alexandre Piskounov","doi":"10.1109/FUZZ.2003.1209344","DOIUrl":"https://doi.org/10.1109/FUZZ.2003.1209344","url":null,"abstract":"Fuzzy rule-based models play an important role both in control and decision-making. In the latter case because of decision-maker involvement, fuzzy inputs and outputs not only allowed but also required. In spite of such differences of these two problems rule-based models for decision-making are designed and implemented in the same way as in control. Some issues specific for rule-based decision-making models are discussed, including rule-base consistency.","PeriodicalId":212172,"journal":{"name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131833941","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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