{"title":"Reducing quantization error and contextual bias problems in software development processes by applying fuzzy logic","authors":"F. Marcelloni, M. Aksit","doi":"10.1109/NAFIPS.1999.781696","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781696","url":null,"abstract":"Object-oriented methods define a considerable number of rules, which are generally expressed using two-valued logic. For example, an entity in a requirement specification is either accepted or rejected as a class. There are two major problems of how rules are defined and applied in current methods. Firstly, two-valued logic cannot effectively express the approximate and inexact nature of a typical software development process. Secondly, the influence of contextual factors on rules is generally not modeled explicitly. We term these problems as quantization error and contextual bias problems, respectively. To reduce these problems, we adopt fuzzy logic-based methodological rules. This approach is method independent and is useful for evaluating and enhancing current methods. In addition, the use of fuzzy logic increases the adaptability and reusability of design models.","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":"124721876","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}
C. Helgason, T. Jobe, J. Mordeson, D. S. Malik, S. Cheng
{"title":"Discarnation and interactive variables as conditions for disease","authors":"C. Helgason, T. Jobe, J. Mordeson, D. S. Malik, S. Cheng","doi":"10.1109/NAFIPS.1999.781702","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781702","url":null,"abstract":"Evidence-based medicine is currently founded in probability-based statistics and attempts to extrapolate what is the case for the collective to individual patient diagnosis and treatment. This study uses fuzzy measures to find structure in individual patient data and suggests that interactions, as they exist in nature as variables that are combinatorialy represented in the unique person, are only captured by fuzzy measures. If pathology and physiology are biologically relevant in the individual patient system, fuzzy measures may be more appropriate, or at least appropriate in addition to statistical analysis for medical clinical studies.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"8 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":"129832580","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":"Second thoughts on linguistic variables","authors":"A. de Soto, E. Trillas","doi":"10.1109/NAFIPS.1999.781648","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781648","url":null,"abstract":"Linguistic variables, as defined by L.A. Zadeh (1987), play a central role in the modelling of approximate reasoning by fuzzy sets. Graduate predicates habitually form bipolar linguistic variables by means of a predicate P and its antonym predicate aP, and, hence, in order to manage a linguistic variable V, both the principal term P (or a predicate generating the variable) and its antonym aP are essential. The knowledge of the membership functions of the fuzzy sets, respectively labelled P and aP, allow one, by means of linguistic modifiers and logical connectives, to obtain the membership functions of all the required terms of V. The antonym relation between predicates remains for all linguistic terms of the linguistic variable. For example, \"cold\" and \"hot\" are antonyms, but so are \"very cold\" and \"very hot\" or \"cool\" and \"warm\". The problem is, of course, the fuzzy modelling of all the terms of V. This paper is focused on obtaining a linguistic variable model where all linguistic terms maintain the basic antonym relation that exists between two bipolar predicates, allowing the use of linguistic modifiers, and on the special case in which the interesting terms of V classify the common universe X in some adequate way.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"41 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":"123384548","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":"Using symbolic data in neuro-fuzzy classification","authors":"D. Nauck","doi":"10.1109/NAFIPS.1999.781751","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781751","url":null,"abstract":"In real world data sets, we often have to deal with different kinds of variables. The data can be for example categorical or metric. Data mining methods can often deal with only one kind of data. Even when fuzzy systems are applied-which are not dependent on the scales of variables-usually only metric data is considered. We propose a learning algorithm that creates mixed fuzzy rules-fuzzy rules that use categorical and metric variables.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"6 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":"123647004","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 new tool for analysis and design of robust fuzzy systems","authors":"K. Kiriakidis","doi":"10.1109/NAFIPS.1999.781730","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781730","url":null,"abstract":"The paper investigates the synthesis of nonlinear control systems with performance and stability robustness in the presence of parametric uncertainty. The proposed technique searches for a positive definite (p.d.) function that satisfies simultaneously design criteria stemming from the above requirements and recasts the general problem in the form of two NonLinear Matrix inequalities (NLMIs). Using nonconventional models, such as fuzzy approximates or global linearizations, the method provides constant-matrix or piecewise quadratic solutions.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"461 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":"123648335","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":"Neuro-fuzzy computing for large power transformers monitoring and diagnostics","authors":"O. Roizman, V. Davydov","doi":"10.1109/NAFIPS.1999.781692","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781692","url":null,"abstract":"There are number of parameters and methods available for condition monitoring and diagnosis of power transformer insulation. We concentrate on a few of them. One of the parameters, which is becoming more and more vital for diagnostics of the integrity of a power transformer, is the moisture content of the insulation system. Migration of moisture between oil and paper insulation is a very complex, nonlinear process with many uncertainties. An adaptive neuro-fuzzy system identification is applied to predict the moisture content of solid insulation from on-line measurements of moisture characteristics of oil. The comparison of the measured and predicted values of the average moisture content in a paper-oil insulation system is presented. Development of a neuro-fuzzy thermal model of a power transformer, intelligent sensor technology, fuzzy signal conditioning and evaluation of partial discharges in power transformers are also discussed.","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":"127744113","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":"Consistency in fuzzy rule based systems: an application in elementary school performance evaluation","authors":"S. Ammar, R. Bifulco, W. Duncombe, R. Wright","doi":"10.1109/NAFIPS.1999.781666","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781666","url":null,"abstract":"Performance evaluation and reform of public organizations is receiving increased attention. In many cases identification of the lowest performing organizations is an important part of performance based reforms. Programs to identify low performance would typically benefit from incorporation of expert judgement, provided that judgement could be applied in a verifiable and fair manner. Fuzzy rule based systems provide a mechanism for modeling expert judgement. However, translating that expertise into a consistent set of rules can be even more challenging for performance evaluation than it has been in engineering applications. We describe an approach that first creates a comprehensive and complete set of rules and then modifies those rules to prevent inconsistent results.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"56 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":"125436831","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":"Why does language matter to fuzzy logic?","authors":"M. Sugeno","doi":"10.1109/NAFIPS.1999.781642","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781642","url":null,"abstract":"This talk consists of two parts. The first part is concerned with language itself and the second part is concerned with applications of language to computing. First, it is shown that language is essentially fuzzy from both logical and philosophical points of view. As to a philosophical view to words, we can refer to a Wittgenstein's text taken from \"Philosophical Investigation\". Then, various uncertainties are classified into a number of categories with modalities and it is shown that there are three essential uncertainties including probability and fuzziness. Next, four major functions of language are explained, concerning human intelligence in which we can see that the fuzziness of language enables us to think in our everyday life. In the second part, an idea of everyday language computing is suggested. This is a new project that I want to promote in the next century. It implies a paradigm shift from a conventional number-based computing to language-based computing. To achieve such an intelligent computing, we need systemic functional linguistics initiated by M. A. K. Halliday. In this talk, we begin with the complexity of language and give a brief introduction to this linguistics together with an illustrative example. Some examples of everyday language computing are also shown. In concluding remarks, referring to Porty's view to 20th century as \"Linguistic turn\", my view is shown as \"Fuzzy turn\" and conclude that two turns are deeply related to each other. 0-7803-521 1-4/99/$10.00","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"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":"128953363","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":"Knowledge based dynamic modeling system for sensor fusion applications","authors":"G. Giuffrida, A. Vellaikal","doi":"10.1109/NAFIPS.1999.781811","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781811","url":null,"abstract":"In a dynamic situation, data modalities range from static (e.g., spatial data representation, objects description) to dynamic (e.g., moving entities, evolving objects). Static data typically reside on local database systems while dynamic data are continuously generated from sensors or special events; we need to integrate both types of data for a realistic modeling of a dynamic situation. In this paper we discuss the implementation of a knowledge based centered system which integrates (1) an expert system shell, (2) a geographical information system, and (3) a sensor data processor. The knowledge encoded in the expert system shell is able to reason on the different data collected over time and, accordingly, to trigger some actions. Actions are of two forms: (1) general messages/alerts to the user to denote a particularly interesting data configuration, and (2) feedback to the various sub-components to improve processing and prediction operations.","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":"130933904","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 behavior modulation with threshold activation for autonomous vehicle navigation","authors":"Edward Tunstel","doi":"10.1109/NAFIPS.1999.781799","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781799","url":null,"abstract":"The paper describes fuzzy logic techniques used in a hierarchical behavior-based architecture for robot navigation. An architectural feature for threshold activation of fuzzy behaviors is emphasized, which is potentially useful for tuning navigation performance in real world applications. The target application is autonomous local navigation of a small planetary rover. Threshold activation of low-level navigation behaviors is the primary focus. A preliminary assessment of its impact on local navigation performance is provided based on computer simulations.","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":"134474210","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}