{"title":"Combining geometric invariants with fuzzy clustering for object recognition","authors":"E. Walker","doi":"10.1109/NAFIPS.1999.781758","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781758","url":null,"abstract":"Object recognition is the process of identifying the types and locations of objects in the image. Earlier work has shown the desirability of using fuzzy compatibility for local feature correspondence and fuzzy clustering for pose estimation of two dimensional objects. The paper extends the methodology to images of three dimensional objects by applying geometric invariants, specifically the cross ratio of four collinear points. The recognition process is divided into three subtasks: local feature correspondence, object identification, and pose determination. Algorithms are described for each subtask.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115082849","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}
{"title":"Fuzzy document retrieval for Portuguese language","authors":"B. H. Storb, R. Wazlawick","doi":"10.1109/NAFIPS.1999.781720","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781720","url":null,"abstract":"This paper reports a model of document retrieval for the Portuguese language, developed from a Miyamoto document-retrieval model. The Miyamoto model is based upon semantic similarity detection of descriptors by co-occurrences. The proposed model may be considered an extension of the Miyamoto model because it considers lexical similarities and expression similarities. Hence, descriptors and queries are expressions, i.e. series of words and connectors (prepositions, etc.). The similarity between words is based on the comparison between possible radicals for the detection of words with identical or similar meanings. The expression similarity is determined by comparing words and connectors using an adaptation of a Bruza and van der Weide (1991) model. The proposed Miyamoto model extension considers both: the determination of a fuzzy thesaurus by a fuzzy index, achieved through lexical descriptor similarities; and the possibility of a non-controlled vocabulary use by the determination of similarities between document descriptors and query expressions. A sample document base was created for the comparison between the models. The results show the usefulness of the proposed model for document retrieval in the Portuguese language.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"1995 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122426073","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}
{"title":"Optimal approximation of functions using piecewise polynomial fuzzy systems","authors":"S. Nejim","doi":"10.1109/NAFIPS.1999.781681","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781681","url":null,"abstract":"A constructive method for the design of an optimal SISO piecewise polynomial fuzzy system approximating a given real continuous function with arbitrary accuracy is proposed. Three cases are considered according to the definition of optimality. An example is given that illustrates the method and confirms the interest in considering polynomial membership functions.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123565313","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}
{"title":"A fuzzy classifier using genetic algorithms for biological data","authors":"J. Diederich, R. Fortuner","doi":"10.1109/NAFIPS.1999.781780","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781780","url":null,"abstract":"This paper presents a fuzzy classifier that generates fuzzy if-then rules from numerical data for multidimensional classification problems using genetic algorithms with rejection of low confidence patterns.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129421609","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}
{"title":"Railway dispatch planning and control","authors":"P. Vieira, L. Neto, E. Bessa, F. Gomide","doi":"10.1109/NAFIPS.1999.781669","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781669","url":null,"abstract":"The paper describes a knowledge based system that employs fuzzy set techniques to analyze train movements and to help dispatchers guide the train in the best possible way. The system uses decision procedures based on operational rules derived from experience and practical constraints. Tested at a major iron ore railway, the system has shown to be an effective tool to enhance dispatcher's decision making ability. This means cost effective transportation, higher production rate, and smoother, safer operation.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129862871","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}
{"title":"Application of noise clustering in group technology","authors":"S. Sen, R. Davé","doi":"10.1109/NAFIPS.1999.781716","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781716","url":null,"abstract":"Cell formation is the most important problem faced in designing cellular manufacturing systems based on the principle of group technology. In that, parts with similar geometry, function, material and/or requiring a similar production process are grouped into part families and corresponding machines are organized as independent cells. One of the main weaknesses of the conventional grouping methods is that they implicitly assume that the components belong to one of the part families. In reality, some parts often require processing by machines from multiple cells and thereby belong to more than one-part families and appear as bottleneck parts. It is necessary to identify these bottleneck parts while grouping, and subsequently, they may be processed by alternative methods, say subcontracting. The identification of bottleneck parts may be considered equivalent to the isolation of noise and outliers in robust fuzzy classification task. R.N. Dave's (1991) noise resistant fuzzy clustering model is applied to solve this problem.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"s3-32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130136141","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}
{"title":"On measuring uncertainty in evidence theory","authors":"R. M. Smith, G. Klir","doi":"10.1109/NAFIPS.1999.781706","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781706","url":null,"abstract":"We present recent developments in the ongoing effort to find a generalization of Shannon entropy in the Dempster-Shafer theory of evidence. We go on to identify several directions for future research.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121557719","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}
{"title":"How the checklist paradigm can be extended to reflect different states of multivalued logical connectives","authors":"N. Hallam, H. Essalam","doi":"10.1109/NAFIPS.1999.781650","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781650","url":null,"abstract":"Bandler and Kohout's (1980) pattern of inference is based on relational products (relational compositions), and can be seen as a framework of approximate reasoning of two theoretical facets. One is a set of fuzzy relational inference structures which are nothing but deductive rules. The other, being a theoretical paradigm, namely the checklist paradigm, copes with the traditional problem of choosing among a panoply of fuzzy logic connectives which are used to evaluate the inference structures.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116464358","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}
{"title":"Detection of incipient fault using fuzzy agglomerative clustering algorithm","authors":"N. Boudaoud, M. Masson","doi":"10.1109/NAFIPS.1999.781689","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781689","url":null,"abstract":"This paper depicts an adaptive diagnostic system based on a fuzzy pattern recognition approach. The proposed system is designed to operate on-line and to deal with the following characteristics: on-line adaptation of classes, detection of slow or abrupt changes and stabilization in a new state, on-line creation of new classes. To meet these requirements, classes are constructed sequentially with a fuzzy agglomerative clustering procedure. Such a clustering procedure requires only one pass through the data, the fuzzy prototypes are created or adapted as new observations are gathered. A prototype is labelled as it is created by using a k-nearest neighbours rule with a distance reject option. This labelling rule is well adapted for stationary states and abrupt changes. However, this rule does not operate in case of incipient faults. To deal with this limitation, we define the concept of temporary prototype. To decide if this prototype is representative of a stationary state or a transient one we introduce a progressive hypotheses test based on the activation rate of the prototype. The results of a robustness study are presented. Finally, the diagnosis system operation is demonstrated on a simulated example.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"15 14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126157925","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}
{"title":"Fuzzy rule expression for emotional generation model based on subsumption architecture","authors":"Y. Maeda","doi":"10.1109/NAFIPS.1999.781800","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781800","url":null,"abstract":"The purpose of our research is to attempt to represent emotions which are difficult to express into a robot as compared with the logical knowledge. The emotional simulator for an autonomous mobile robot which is able to express various emotions based on three basic emotional vectors, described only with simplified fuzzy rules, was developed in this research. We represented the emotional auto-generation model with Subsumption Architecture (SSA). We also report the result of experiments performed with a miniature robot for the purpose of confirming the efficiency of this simulator.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127130197","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}