{"title":"Chu spaces: towards new foundations for fuzzy logic and fuzzy control, with applications to information flow on the World Wide Web","authors":"N. Nguyen, H. Nguyen, Berlin Wu, V. Kreinovich","doi":"10.1109/NAFIPS.1999.781797","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781797","url":null,"abstract":"The article examines Chu spaces, a new formalism used to describe parallelism and information flow. It shows that Chu spaces provide uniform explanations for different choices of fuzzy methodology, such as choices of fuzzy logical operations, of membership functions, of defuzzification, etc.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114152684","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 logic for software metric models throughout the development life-cycle","authors":"A. Gray, Stephen G. MacDonell","doi":"10.1109/NAFIPS.1999.781694","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781694","url":null,"abstract":"One problem faced by managers who are using project management models is the elicitation of numerical inputs. Obtaining these with any degree of confidence early in a project is not always feasible. Related to this difficulty is the risk of precisely specified outputs from models leading to overcommitment. These problems can be seen as the collective failure of software measurements to represent the inherent uncertainties in managers' knowledge of the development products, resources, and processes. It is proposed that fuzzy logic techniques can help to overcome some of these difficulties by representing the imprecision in inputs and outputs, as well as providing a more expert-knowledge based approach to model building. The use of fuzzy logic for project management however should not be the same throughout the development life cycle. Different levels of available information and desired precision suggest that it can be used differently depending on the current phase, although a single model can be used for consistency.","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":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129825125","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":"An adaptable system to construct fuzzy decision trees","authors":"C. Marsala, B. Bouchon-Meunier","doi":"10.1109/NAFIPS.1999.781687","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781687","url":null,"abstract":"Nowadays, data mining is an active domain that is linked to data management and machine learning techniques. However, even if inductive learning methods work well when handling symbolic attributes, problems arise when considering numerical or numerical-symbolic (num/symb) attributes. This problem can be solved by introducing tools from fuzzy set theory to handle such kinds of data. In this paper, we present an adaptable system to construct and to use fuzzy decision trees by means of several kinds of operators.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"128 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":"123111692","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 clustering in data mining for telco database marketing campaigns","authors":"S. Russell, W. Lodwick","doi":"10.1109/NAFIPS.1999.781788","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781788","url":null,"abstract":"Fuzzy methods have been applied to data mining and to databases of customer information for marketing. This paper explores fuzzy clustering approaches to telecommunications database marketing. Fuzzy clustering methods can be used to mine telco customer and prospect databases to gain residential and business customer market share. Four key fuzzy enhancements to traditional database marketing are developed in this paper. First, customers often have significant membership values in more than one distinct fuzzy cluster and can be considered in a natural manner for hybrid or multiple contacts in a given marketing campaign. Second, fuzzy clustering outcomes are shown to be dependent on the particular offer or marketing message. Third, there are differences in clustering outcomes over time, as various offers and treatments are successively presented to consumers, and as products and tastes change. This evolution of fuzzy clusters can be used to help understand customer loyalty and to extract a more optimal lifetime economic relationship value. Fourth, in the longer run, formal procedures can be suggested involving intuitive fuzzy-based clustering metrics for continuous process improvement, to support increasingly flexible and opportunistic campaign management.","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":"121048721","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":"Interacting with Web video objects","authors":"Marcin Detyniecki, C. Seyrat, R. Yager","doi":"10.1109/NAFIPS.1999.781827","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781827","url":null,"abstract":"We use ideas in the spirit of computing with words in order to answer time related queries about a single video. We introduce a time-related dictionary and some fuzzy logic tools in order to be able to construct the fuzzy queries. The system is based on fuzzy annotation. The model presented is being implemented on a Java based video search engine.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"42 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":"124866384","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 control of a universal battery charger","authors":"G. Bandara, R. Ivanov, S. Gishin","doi":"10.1109/NAFIPS.1999.781813","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781813","url":null,"abstract":"Fuzzy control of a Universal Battery Charger is investigated. Effective control of the charging process is complex, due to the exponential relationship between the charging current and the charging time. Classical control algorithms such as PID, PI etc. are difficult to implement in this event, due to nonlinear current-time relationships of rechargeable batteries. Initial peak charging current is estimated depending on the coefficient of discharge of the battery. An intelligent microcontroller based system is developed to sense the charging current and the present charge, after which a fast fuzzy inference mechanism defines the next level of the charging current. Delay time of the switching of the main supply is calculated after the fuzzy inference, and the power switch is switched accordingly. Experimental results and expert knowledge are used for tuning of the membership functions and the rule base of the fuzzy controller.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"35 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":"125085961","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":"The application of constrained mathematics in probabilistic uncertainty analysis","authors":"J. A. Cooper","doi":"10.1109/NAFIPS.1999.781661","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781661","url":null,"abstract":"Safety and reliability analyses often depend on Boolean logic combinations of input variables that have uncertainty (imperfect knowledge) or variability (probabilistically described outcomes). Calculating safety and reliability probabilities with functions of uncertain variables can yield incorrect or misleading results if some precautions are not taken. One important consideration is the application of constrained mathematics for calculating probabilities for functions that contain repeated variables. An example of a constraint is that an uncertain variable that appears multiple times in a Boolean expression must always have the same value, although the value cannot be exactly specified. It has been recognized that using interval-based computations such as interval arithmetic and fuzzy or possibilistic mathematics in an unconstrained mode (applied by sequentially parsing equation solutions), and even Monte Carlo analysis can significantly misrepresent extreme values. This phenomenon, its ramifications, and a solution for the problem are discussed.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"17 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":"115173991","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":"The use of fuzzy optimization methods for radiation therapy of tumors","authors":"W. Lodwick, S. Russell","doi":"10.1109/NAFIPS.1999.781700","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781700","url":null,"abstract":"This research focuses on the application of fuzzy optimization algorithms to large optimization problems where it is natural and useful to model the uncertainty of the problem directly. In particular, we apply fuzzy optimization to radiation therapy of tumors. Two themes are developed in this study: (1) the modeling of inherently fuzzy problems directly as fuzzy optimization problems, and (2) the application of fuzzy optimization to radiation therapy of tumors.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"11 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":"116520338","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":"Equilibrium relations and bipolar fuzzy clustering","authors":"Wen-Ran Zhang","doi":"10.1109/NAFIPS.1999.781715","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781715","url":null,"abstract":"Equilibrium relations bipolar fuzzy sets are introduced. Equilibrium relations are bipolar reflexive, symmetrical, and transitive. It is proved that: (1) crisp equilibrium relations induce hard partitions of harmony sets, coalition sets, and conflict sets; and (2) fuzzy equilibrium relation induces fuzzy harmony, coalition, and conflict sets which can be either disjoint or overlapped. Conditions for disjoint bipolar fuzzy partitioning are established with fuzzy equilibrium relations. It is shown that crisp equilibrium relations and fuzzy equilibrium relations are natural generalizations of classical equivalence relations and fuzzy similarity relations, respectively. It is illustrated that equilibrium relations can be used for bipolar clustering.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"28 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":"122372030","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":"Choice of experiments and analysis of approximation accuracy in a Tagaki-Sugeno fuzzy system","authors":"F. Benmakrouha, P. Glorennec","doi":"10.1109/NAFIPS.1999.781680","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781680","url":null,"abstract":"We are concerned with two important points in identification of fuzzy systems, namely choosing training data for optimal coverage of input space and establishing approximation error bounds. We present a method to determine a good distribution of experimental data and we establish in this case approximation bound errors.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"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":"117030789","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}