Pub Date : 2002-08-07DOI: 10.1109/NAFIPS.2002.1018059
Young-Il Lee, C. Noe, Yong-Gi Kim
This paper describes the best choice of fuzzy implication operator and /spl alpha/-cut that are appropriate to the heuristic search technique for real-time collision avoidance of AUVs (autonomous underwater vehicles). A fuzzy implication operator is applied to the computation of a fuzzy triangle product that constructs a new fuzzy relation between two fuzzy relations. This is the theoretical basis of the heuristic search technique. In this paper, we design a heuristic search technique using fuzzy relational products for AUVs, and propose the selection of a fuzzy implication operator and /spl alpha/-cut which are the most suitable for the search technique. In order to verify the optimality and efficiency of the selected fuzzy implication operator and /spl alpha/-cut, we simulate every case of /spl alpha/-cut for each fuzzy implication operator in view of the cost of path and the number of /spl alpha/-cuts generating an acceptable path to the goal.
{"title":"Implication operators in fuzzy relational products for a local path-planning of AUVs","authors":"Young-Il Lee, C. Noe, Yong-Gi Kim","doi":"10.1109/NAFIPS.2002.1018059","DOIUrl":"https://doi.org/10.1109/NAFIPS.2002.1018059","url":null,"abstract":"This paper describes the best choice of fuzzy implication operator and /spl alpha/-cut that are appropriate to the heuristic search technique for real-time collision avoidance of AUVs (autonomous underwater vehicles). A fuzzy implication operator is applied to the computation of a fuzzy triangle product that constructs a new fuzzy relation between two fuzzy relations. This is the theoretical basis of the heuristic search technique. In this paper, we design a heuristic search technique using fuzzy relational products for AUVs, and propose the selection of a fuzzy implication operator and /spl alpha/-cut which are the most suitable for the search technique. In order to verify the optimality and efficiency of the selected fuzzy implication operator and /spl alpha/-cut, we simulate every case of /spl alpha/-cut for each fuzzy implication operator in view of the cost of path and the number of /spl alpha/-cuts generating an acceptable path to the goal.","PeriodicalId":348314,"journal":{"name":"2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130246082","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 : 2002-08-07DOI: 10.1109/NAFIPS.2002.1018109
M. S. Chafi, M. Moavenian, M. Akbarzadeh-T.
The application of a novel fuzzy-neural architecture to diagnose faults in critical cases of a CNC X-axis drive system is described. The proposed architecture utilizes the concepts of fuzzy clustering, fuzzy decision making and RBF neural networks to create a suitable model based fault detection and isolation (FDI) structure. In the present application, the authors emphasize the faults due only to the nonlinear components and the components that have a more significant effect on overall accuracy of the drive system. On 100 tests on the system, i.e. the appropriate model, the diagnostic system allocated fault location and fault size 100 per cent correctly.
{"title":"Critical cases of a CNC drive system-fault diagnosis via a novel architecture","authors":"M. S. Chafi, M. Moavenian, M. Akbarzadeh-T.","doi":"10.1109/NAFIPS.2002.1018109","DOIUrl":"https://doi.org/10.1109/NAFIPS.2002.1018109","url":null,"abstract":"The application of a novel fuzzy-neural architecture to diagnose faults in critical cases of a CNC X-axis drive system is described. The proposed architecture utilizes the concepts of fuzzy clustering, fuzzy decision making and RBF neural networks to create a suitable model based fault detection and isolation (FDI) structure. In the present application, the authors emphasize the faults due only to the nonlinear components and the components that have a more significant effect on overall accuracy of the drive system. On 100 tests on the system, i.e. the appropriate model, the diagnostic system allocated fault location and fault size 100 per cent correctly.","PeriodicalId":348314,"journal":{"name":"2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125961624","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 : 2002-08-07DOI: 10.1109/NAFIPS.2002.1018037
S. Yaacob, R. Nagarajan, T. Kenneth
In practice, phenol and formaldehyde are used to produce resin adhesives An unpredictable sudden heat is liberated by the nonlinear exothermal reaction even at room temperature. Classical PID control is one of the general solutions often applied in the industries to avoid temperature run-away and the consequent damage to expensive materials. However, due to the time varying nature of inherent time delay of the industrial plant, the PID method has been found to be a source of errors that affects the quality of the product. Therefore, in order to reduce the effect of inherent time delay, a predictive fuzzy logic control approach with adaptive loop is applied to the system. The paper discusses a detailed simulation study of the exothermal process based on experimental parameters using the MATLAB-SIMULINK toolbox.
{"title":"Fuzzy logic predictive controller performance under variable time delay-a simulation study","authors":"S. Yaacob, R. Nagarajan, T. Kenneth","doi":"10.1109/NAFIPS.2002.1018037","DOIUrl":"https://doi.org/10.1109/NAFIPS.2002.1018037","url":null,"abstract":"In practice, phenol and formaldehyde are used to produce resin adhesives An unpredictable sudden heat is liberated by the nonlinear exothermal reaction even at room temperature. Classical PID control is one of the general solutions often applied in the industries to avoid temperature run-away and the consequent damage to expensive materials. However, due to the time varying nature of inherent time delay of the industrial plant, the PID method has been found to be a source of errors that affects the quality of the product. Therefore, in order to reduce the effect of inherent time delay, a predictive fuzzy logic control approach with adaptive loop is applied to the system. The paper discusses a detailed simulation study of the exothermal process based on experimental parameters using the MATLAB-SIMULINK toolbox.","PeriodicalId":348314,"journal":{"name":"2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128949039","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 : 2002-08-07DOI: 10.1109/NAFIPS.2002.1018114
Yan Chen, Bin Zhang, A. Gider
In this paper, we apply the fuzzy linear clustering method of Hathaway and Bezdek (1980) to the task of fabric property prediction and fabric selection from an on-line database. We show that the fuzzy linear clustering method is quite effective for this task. The on-line database, associated with the intelligent search engine we developed, addresses the urgent need of cloth manufacturers, clothing designers and retailers to quickly find suitable fabric materials and fabric manufacturers.
{"title":"Fuzzy linear clustering for fabric selection from online database","authors":"Yan Chen, Bin Zhang, A. Gider","doi":"10.1109/NAFIPS.2002.1018114","DOIUrl":"https://doi.org/10.1109/NAFIPS.2002.1018114","url":null,"abstract":"In this paper, we apply the fuzzy linear clustering method of Hathaway and Bezdek (1980) to the task of fabric property prediction and fabric selection from an on-line database. We show that the fuzzy linear clustering method is quite effective for this task. The on-line database, associated with the intelligent search engine we developed, addresses the urgent need of cloth manufacturers, clothing designers and retailers to quickly find suitable fabric materials and fabric manufacturers.","PeriodicalId":348314,"journal":{"name":"2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114181011","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 : 2002-08-07DOI: 10.1109/NAFIPS.2002.1018082
E. Sanchez, John A. Santini
This paper presents a fuzzy Web site evaluator. It extracts personality and emotion cues from textual analysis in a thesaurus. User-provided weights characterize semantic fuzzy grades in the thesaurus. Textual information is extracted from Web pages' titles, section headings and full-text contents, in order of decreasing importance. Colors of images in Web pages are also treated and related to both personality and emotion. The output consists of bar diagrams summarizing the personality and emotional content of the specified Web sites.
{"title":"Fuzzy logic and the Internet: a fuzzy Web site evaluator","authors":"E. Sanchez, John A. Santini","doi":"10.1109/NAFIPS.2002.1018082","DOIUrl":"https://doi.org/10.1109/NAFIPS.2002.1018082","url":null,"abstract":"This paper presents a fuzzy Web site evaluator. It extracts personality and emotion cues from textual analysis in a thesaurus. User-provided weights characterize semantic fuzzy grades in the thesaurus. Textual information is extracted from Web pages' titles, section headings and full-text contents, in order of decreasing importance. Colors of images in Web pages are also treated and related to both personality and emotion. The output consists of bar diagrams summarizing the personality and emotional content of the specified Web sites.","PeriodicalId":348314,"journal":{"name":"2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116177837","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 : 2002-08-07DOI: 10.1109/NAFIPS.2002.1018073
P. Petratos, Li Chen
In this note, an expansion of fuzzy logic into the symmetrical interval [-1, 1] is discussed via numerous mathematical models which share a common bidirectional characteristic ergo the name bidirectional fuzzy logic. The possible application of the bidirectional fuzzy logic is also investigated.
{"title":"A note on bidirectional fuzzy logic","authors":"P. Petratos, Li Chen","doi":"10.1109/NAFIPS.2002.1018073","DOIUrl":"https://doi.org/10.1109/NAFIPS.2002.1018073","url":null,"abstract":"In this note, an expansion of fuzzy logic into the symmetrical interval [-1, 1] is discussed via numerous mathematical models which share a common bidirectional characteristic ergo the name bidirectional fuzzy logic. The possible application of the bidirectional fuzzy logic is also investigated.","PeriodicalId":348314,"journal":{"name":"2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125771359","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 : 2002-08-07DOI: 10.1109/NAFIPS.2002.1018060
Akbar. Nazemi, M.R.T. Akbarzadeh, S. Hosseini
Linear programming (LP) is a popular method for optimization of a wide range of applications because of its simplicity and availability. However, LP, in its classic form, is not equipped to handle information with fizzy uncertainty. This paper considers the situations that both stochastic as well as fuzzy information are available and therefore could be coupled for improved optimization. For this purpose, fuzzy linear programming is modified by considering the stochastic properties of variables; so the new problem, fuzzy-stochastic linear programming (FSLP), can be formulated. The proposed method can be used as a complement and/or replacement of linear programming when enough data is not available for crisp statistical optimization. FSLP is then applied to a classic problem in water resources engineering, in particular the storage-yield problem applied to numerical data from Saugatuck reservoir. Simulation results demonstrate that for the presented scenario, the FSLP presents a more realistic water management, and can be used for replacement and/or complement of crisp LP optimization.
{"title":"Fuzzy-stochastic linear programming in water resources engineering","authors":"Akbar. Nazemi, M.R.T. Akbarzadeh, S. Hosseini","doi":"10.1109/NAFIPS.2002.1018060","DOIUrl":"https://doi.org/10.1109/NAFIPS.2002.1018060","url":null,"abstract":"Linear programming (LP) is a popular method for optimization of a wide range of applications because of its simplicity and availability. However, LP, in its classic form, is not equipped to handle information with fizzy uncertainty. This paper considers the situations that both stochastic as well as fuzzy information are available and therefore could be coupled for improved optimization. For this purpose, fuzzy linear programming is modified by considering the stochastic properties of variables; so the new problem, fuzzy-stochastic linear programming (FSLP), can be formulated. The proposed method can be used as a complement and/or replacement of linear programming when enough data is not available for crisp statistical optimization. FSLP is then applied to a classic problem in water resources engineering, in particular the storage-yield problem applied to numerical data from Saugatuck reservoir. Simulation results demonstrate that for the presented scenario, the FSLP presents a more realistic water management, and can be used for replacement and/or complement of crisp LP optimization.","PeriodicalId":348314,"journal":{"name":"2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126571841","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 : 2002-08-07DOI: 10.1109/NAFIPS.2002.1018117
H.L. Larsen
We present an approach to weighted indexing of documents in information retrieval systems and search engines utilizing visual emphasizing applied in the document texts. The significance of a term in characterizing the topic of a document depends both on the number of occurrences of the term in the page, and on the amount of visual emphasizing applied in the occurrences. We argue that the document discrimination degree of a term, as measured by the inverse document frequency, should be applied as the default importance of the term in a query. The approach was evaluated using a real world case set showing good performance and sensitivity to parameters as expected.
{"title":"Enhancing search engines through utilization of visually emphasized terms","authors":"H.L. Larsen","doi":"10.1109/NAFIPS.2002.1018117","DOIUrl":"https://doi.org/10.1109/NAFIPS.2002.1018117","url":null,"abstract":"We present an approach to weighted indexing of documents in information retrieval systems and search engines utilizing visual emphasizing applied in the document texts. The significance of a term in characterizing the topic of a document depends both on the number of occurrences of the term in the page, and on the amount of visual emphasizing applied in the occurrences. We argue that the document discrimination degree of a term, as measured by the inverse document frequency, should be applied as the default importance of the term in a query. The approach was evaluated using a real world case set showing good performance and sensitivity to parameters as expected.","PeriodicalId":348314,"journal":{"name":"2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124803660","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 : 2002-08-07DOI: 10.1109/NAFIPS.2002.1018108
G. Bandara, S. D. Pathirana, R. Ranawana
Handwritten characters differ from person to person. Thus, when using traditional methods like neural networks and image processing techniques, extensive training of the system is needed. Because of this, an attempt was made to develop a system that used the methods that humans use to perceive handwritten characters. Thus, a system that recognizes features in handwritten characters using fuzzy logic was developed. The reasons for the selection of fuzzy logic were as follows: 1. Fuzzy logic can be used to model human perception; 2. The mathematics that fuzzy logic requires is extremely fundamental. Thus, any algorithm developed using fuzzy logic would require relatively simple and short calculations; and 3. Due to simplicity of fuzzy calculations, they can be implemented on any hardware or software platform without too much concern for computing power. The objectives in the development of this method were: 1. The development of a short and efficient algorithm that tries as much as possible to model human perception. and 2. The development of an algorithm that can be implemented on any hardware or software platform through low computational power requirements.
{"title":"A short method for on-line handwritten character recognition","authors":"G. Bandara, S. D. Pathirana, R. Ranawana","doi":"10.1109/NAFIPS.2002.1018108","DOIUrl":"https://doi.org/10.1109/NAFIPS.2002.1018108","url":null,"abstract":"Handwritten characters differ from person to person. Thus, when using traditional methods like neural networks and image processing techniques, extensive training of the system is needed. Because of this, an attempt was made to develop a system that used the methods that humans use to perceive handwritten characters. Thus, a system that recognizes features in handwritten characters using fuzzy logic was developed. The reasons for the selection of fuzzy logic were as follows: 1. Fuzzy logic can be used to model human perception; 2. The mathematics that fuzzy logic requires is extremely fundamental. Thus, any algorithm developed using fuzzy logic would require relatively simple and short calculations; and 3. Due to simplicity of fuzzy calculations, they can be implemented on any hardware or software platform without too much concern for computing power. The objectives in the development of this method were: 1. The development of a short and efficient algorithm that tries as much as possible to model human perception. and 2. The development of an algorithm that can be implemented on any hardware or software platform through low computational power requirements.","PeriodicalId":348314,"journal":{"name":"2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124788195","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 : 2002-08-07DOI: 10.1109/NAFIPS.2002.1018120
M. Cococcioni, G. Corsini, M. Diani, R. Grasso, B. Lazzerini, F. Marcelloni
Determining the concentrations of dissolved organic matter and suspended non-chlorophyllous particles in sea water is basic to the study of the impact of anthropic activity in coastal areas. As these concentrations affect the spectral distribution of the solar light back-scattered by the water body, their estimation can be computed by using a set of measures of average subsurface reflectances over spectral channels centered around prefixed wavelength of a MEdium Resolution Imaging Spectrometer (MERIS) on board a satellite. In this paper, the relation between the concentrations of interest and the average subsurface reflectances is modeled by a set of fuzzy rules extracted automatically from MERIS data through a two-step procedure. First, a compact initial rule base is generated by projecting onto the input variables the clusters produced by a fuzzy clustering algorithm. Then a genetic algorithm is applied to optimize the rules. Appropriate constraints maintain the semantic properties of the initial model during the genetic evolution. Results of the application of the fuzzy model are shown and discussed.
{"title":"Automatic extraction of fuzzy rules from MERIS data to identify sea water optically active constituent concentration","authors":"M. Cococcioni, G. Corsini, M. Diani, R. Grasso, B. Lazzerini, F. Marcelloni","doi":"10.1109/NAFIPS.2002.1018120","DOIUrl":"https://doi.org/10.1109/NAFIPS.2002.1018120","url":null,"abstract":"Determining the concentrations of dissolved organic matter and suspended non-chlorophyllous particles in sea water is basic to the study of the impact of anthropic activity in coastal areas. As these concentrations affect the spectral distribution of the solar light back-scattered by the water body, their estimation can be computed by using a set of measures of average subsurface reflectances over spectral channels centered around prefixed wavelength of a MEdium Resolution Imaging Spectrometer (MERIS) on board a satellite. In this paper, the relation between the concentrations of interest and the average subsurface reflectances is modeled by a set of fuzzy rules extracted automatically from MERIS data through a two-step procedure. First, a compact initial rule base is generated by projecting onto the input variables the clusters produced by a fuzzy clustering algorithm. Then a genetic algorithm is applied to optimize the rules. Appropriate constraints maintain the semantic properties of the initial model during the genetic evolution. Results of the application of the fuzzy model are shown and discussed.","PeriodicalId":348314,"journal":{"name":"2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123156861","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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