{"title":"A new direction in fuzzy logic-toward a computational theory of perceptions","authors":"L. A. Zadeh","doi":"10.1109/NAFIPS.1999.781640","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781640","url":null,"abstract":"Perceptions play a pivotal role in human cognition. The ability to reason with perceptions underlies the remarkable human capability to perform a wide variety of physical and mental tasks without any measurements and any computations. Everyday examples of such tasks are parking a car, driving in city traffic, playing golf, cooking a meal and summarizing a story. In an essential way, the capability to perform these tasks is based on the brain's ability to manipulate perceptions-perceptions of time, distance, force, direction, speed, shape, color, likelihood, intent, truth and other attributes of physical and mental objects.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"232 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":"124188129","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":"Project management: using fuzzy logic and the Dempster-Shafer theory of evidence to select team members for the project duration","authors":"M. F. Shipley, C. Dykman, A. de Korvin","doi":"10.1109/NAFIPS.1999.781772","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781772","url":null,"abstract":"Fuzzy logic and the Dempster-Shafer theory of evidence is applied to an IS multiattribute decision making problem whereby the project manager must select project team members from candidates, none of whom may exactly satisfy the ideal level of skills needed at any point in time. The decision mechanism is constrained by the uncertainty inherent in the determination of the relative importance of each skill and the classification of potential team members. This latter uncertainty of potential team membership is addressed through expert evaluation of the degree to which each potential ream member possesses each skill. Then the belief and plausibility that a candidate will satisfy the decision maker's ideal skill levels are calculated and combined to rank order the available candidates. The changing skill requirements are addressed through an iterative process for each project phase.","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":"126289260","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 stack filters: definition and design methods","authors":"A. Taguchi","doi":"10.1109/NAFIPS.1999.781746","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781746","url":null,"abstract":"Rank-order based filters have received considerable attention due to their inherent outlier rejection and detail preservation properties. One of the most important rank-order based filters is the stack filter. There are two different approaches to the design of stack filters. One might be called the structural approach, while the other might be called the estimation approach. On the other hand, we have proposed a fuzzy stack filter in order to extend the class of stack filters. Fuzzy stack filters are very important for signal processing, because these filters include FIR filters and weighted median filters. In this paper, we introduce the fuzzy stack filter and show design methods for the two different approaches (i.e. the structural approach and the estimation approach). Experimental results show that the fuzzy stack filter outperforms the (crisp) stack filter.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"108 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":"128017256","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 fuzzification of platelet aggregation response for interpretation of interactive effect of combination aspirin-ticlopidine therapy in patients with stroke","authors":"C. Helgason, T. Jobe, L. Brace, J. Mordeson","doi":"10.1109/NAFIPS.1999.781699","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781699","url":null,"abstract":"Current therapy for the prevention of heart attack and stroke includes the use of aspirin and other antiplatelet agents. The latter are used in an all-or-none fashion, one dosage for all. Recent studies suggest that different people respond to different dosages of an antiplatelet agent to a certain degree, and that this response has clinical importance in relation to their intended preventive purpose. This study uses fuzzy theory to describe and study individual responses to the antiplatelet medications aspirin and ticlopidine, alone and in combination.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"7 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":"130563909","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":"Automatic tuning of a fuzzy batch job scheduler using a genetic algorithm","authors":"A. Shaout, P. McAuliffe","doi":"10.1109/NAFIPS.1999.781671","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781671","url":null,"abstract":"The paper presents the application of a genetic algorithm to automatically tune a fuzzy batch job scheduler for maximum throughput. This genetic algorithm varies fuzzy membership functions, fuzzy rules and resource limits on processors to optimize for maximum job throughput and load balancing across processors of a distributed system. Unlike most research done in the realm of load balancing and job scheduling, the paper presents an algorithm that has been evaluated in a production processing environment rather than in simulation only.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"10 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":"126902867","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}
Xiaohui Liu, Roger G. Johnson, G. Cheng, S. Swift, A. Tucker
{"title":"Soft computing for intelligent data analysis","authors":"Xiaohui Liu, Roger G. Johnson, G. Cheng, S. Swift, A. Tucker","doi":"10.1109/NAFIPS.1999.781749","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781749","url":null,"abstract":"Intelligent data analysis (IDA) is an interdisciplinary study concerned with the effective analysis of data. The paper briefly looks at some of the key issues in intelligent data analysis, discusses the opportunities for soft computing in this context, and presents several IDA case studies in which soft computing has played key roles. These studies are all concerned with complex real-world problem solving, including consistency checking between mass spectral data with proposed chemical structures, screening for glaucoma and other eye diseases, forecasting of visual field deterioration, and diagnosis in an oil refinery involving multivariate time series. Bayesian networks, evolutionary computation, neural networks, and machine learning in general are some of those soft computing techniques effectively used in these studies.","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":"124209720","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 model for road accidents analysis","authors":"S. Cafiso, G. La Cava, V. Cutello","doi":"10.1109/NAFIPS.1999.781670","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781670","url":null,"abstract":"We describe a simple framework for classifying road accidents using a fuzzy algorithm. Moreover, we study the role that the road conditions and environment have on road accidents. We classify accidents according to their causes using a fuzzy algorithm through a computerised procedure and a simplified model. The experimental study can be used as an instrument for identification of road failures or potential road environment influences on road safety. Using the fuzzy algorithm k-nn, we were able to produce a model which gives good results even using linear and discrete membership functions. We also highlight and describe in depth the potential development of the work: nonlinearity of the interaction among the variables belonging to the same set of factors; search for specific multidimensional fuzzy logic term aggregation operators.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"36 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":"116796916","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":"White blood cell detection in bone marrow images","authors":"P. Sobrevilla, E. Montseny, J. Keller","doi":"10.1109/NAFIPS.1999.781723","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781723","url":null,"abstract":"This paper presents an approach to the automatic detection of white blood cells in bone marrow microscopic images. This approach is based on fuzzy techniques with the aim to allow: good processing of both vagueness and indetermination characteristics of this kind of image; and the analysis of monochrome instead of color images. Taking these considerations into account, a very low computational cost algorithm is obtained which produces highly satisfactory results.","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":"116902977","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":"Combinations of evolutionary algorithms and fuzzy systems: a survey","authors":"Yuhui Shi","doi":"10.1109/NAFIPS.1999.781766","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781766","url":null,"abstract":"Lot of schemes to combine evolutionary algorithms and fuzzy systems have been reported in the literature in recent years. Evolutionary algorithms have been used to design fuzzy systems and fuzzy systems have been utilized to adapt the evolutionary algorithms. Both sides interact with each other both supportively and collaboratively. We provide a survey with focus on evolutionary algorithms as supporting tools for designing fuzzy systems since this is the main research work reported in the literature. The survey is organized from three perspectives: homogeneous vs. heterogeneous representation; online learning vs. offline learning; static learning vs. adaptive learning algorithms.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"30 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":"117014430","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":"Intelligent indexes with inheritable fuzzy relations","authors":"D. Schwartz","doi":"10.1109/NAFIPS.1999.781717","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781717","url":null,"abstract":"The paper outlines an approach to building \"intelligent\" indexes for digital libraries. The index takes the form of a concept taxonomy, wherein concepts represent classes of objects, and arcs are restricted to being either: (i) parent-child specificity links, where child classes may be either fully or partially contained within their parents; or (ii) is-related-to links, where no particular subclass/superclass interpretation is implied. The taxonomy is provided an underlying layer of logical intelligence that makes it function as an expert system that can be queried by the user as to the deeper logical interrelations between the concepts in the taxonomy, as well as the objects thus classified. The system applies a new solution to the problem of default reasoning with exceptions in multiple inheritance reasoning systems. In effect, is-related-to links are inheritable downwards in the taxonomy, unless this inheritance is blocked by counteracting information.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"104 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":"132098074","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}