{"title":"Solving linear Boolean programming problems with imprecise costs","authors":"J.L. Castro, F. Herrera, J. Verdegay","doi":"10.1109/FUZZY.1992.258795","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258795","url":null,"abstract":"The authors present a fuzzy linear Boolean programming problem with fuzzy costs and propose two different approaches for solving the problem. In the case considered, the objective has a fuzzy nature, and, associated to each feasible solution, there is a fuzzy number which is obtained by means of the fuzzy objective function. Hence, to solve the optimization problem, obtaining both the optimal solution and the corresponding fuzzy value of the objective, methods ranking the fuzzy numbers obtained from that function must be considered. The approaches are based on methods for ranking fuzzy numbers, and on the use of the decomposition theorem for fuzzy sets which provides a fuzzy solution to the problem.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114568009","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":"Eye-hand coordination based on fuzzy vision transducer","authors":"D. Stipanicev, M. Cecic","doi":"10.1109/FUZZY.1992.258675","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258675","url":null,"abstract":"A fuzzy control system based on the principles of eye-hand coordination is described. As a vision sensor a simple device called a fuzzy eye was applied. The fuzzy eye was successfully used in a sensory-based control system, whose task was to perceive and then to follow a point source of light. The control algorithm was based on a simple fuzzy control algorithm having a vision signal as an input and a motor control as an output. Simulation results showed quite satisfactory system behavior.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122126743","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":"Conditioning of events and related topics","authors":"S. Weber","doi":"10.1109/FUZZY.1992.258774","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258774","url":null,"abstract":"The author presents a lattice ordered semigroup approach for the foundation of conditional events which covers the special situations where the underlying unconditional events are Boolean or fuzzy, respectively. The structure of a lattice with an additional semigroup operation interpreted as an intersection is considered. An additional axiom (MV), transforming that type of lattice into a MV-algebra, makes possible the construction of conditional events in this approach, and of two types of connectives as well as quite general uncertainty measures for conditional events.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128453530","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":"Sliding mode fuzzy control","authors":"R. Palm","doi":"10.1109/FUZZY.1992.258681","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258681","url":null,"abstract":"Fuzzy controllers work like modified sliding mode controllers (SMCs). Compared to ordinary SMCs, fuzzy controllers (FCs) have the advantage of higher robustness. The structure of a FC is derived from a nonlinear state equation representing a large class of physical systems. The following aspects are discussed: stability conditions, scaling of the state vector, choice of the switching line, and determination of the break frequencies of the controller. By the choice of an additional boundary layer in the phase plane the FC is modified so that drastic changes of the manipulated variable can be avoided, especially at the boundary of the normalized phase plane. In this context, the higher robustness of the modified FC over the modified SMC is discussed. An FC for a higher-order system is proposed.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128677552","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":"Empirical validation of Yager's measure of decision tranquility","authors":"B. Schott, T. Whalen","doi":"10.1109/FUZZY.1992.258729","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258729","url":null,"abstract":"R.R. Yager (1982) has proposed a measure of tranquility as a possible surrogate for the cognitive or emotional effects experienced by individuals making a best choice decision. The authors have designed and performed an empirical experiment to validate this claim. University student subjects' responses to a paper and pencil survey suggested that Yager's measure exhibits considerable merit. The subjects were asked to rate their subjective confidence that a selected alternative was the best when confronted with various decision functions over a set of eight alternatives. Results of the experiment uncovered different behavior for graduate and undergraduate students.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130413125","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 general purpose fuzzy logic code","authors":"N. K. Alang-Rashid, A. S. Heger","doi":"10.1109/FUZZY.1992.258748","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258748","url":null,"abstract":"The authors present preliminary results on the development of a general purpose logic application development code. It consists of two modules: a program generator and a fuzzy logic function library. The program generator generates a problem-specific fuzzy logic code. It allows the user to modify the rule and the membership functions easily without rewriting the fuzzy logic code. It also makes the code portable in the sense that it can be interfaced to any process. The fuzzy logic function library is a code that is used by the generated fuzzy logic code. As illustrations, examples of its use in the areas of fuzzy modeling and fuzzy process control are presented.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126794611","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 aggregation of max-product transitive valued binary relations","authors":"S. Ovchinnikov","doi":"10.1109/FUZZY.1992.258669","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258669","url":null,"abstract":"An aggregation procedure assigns a group preference to each finite family of individual preferences. It is usually required that the group preference satisfy some general conditions. One of the most commonly accepted conditions is the Pareto property. A special class of individual preferences represented by valued binary relations on the relevant finite set of alternatives is considered. Two extreme cases of valued binary relations satisfying the Pareto property in the class of all max-product transitive valued binary relations are completely characterized by their properties.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127007233","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":"Measures of discrimination and ambiguity for fuzzy sets","authors":"D. Bhandari, N. Pal, D. Majumder","doi":"10.1109/FUZZY.1992.258610","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258610","url":null,"abstract":"A new informative measure for discrimination between two fuzzy sets is introduced. This discriminating measure reduces, under a special condition to the nonprobabilistic entropy discussed by A. Deluca and S. Termini (1972). The divergence measure between two sets is defined along with a large set of properties. It is used to define an ambiguity (fuzziness) measure. A. Renyi's (1961) probabilistic entropy of order alpha is extended to define a nonprobabilistic entropy of a fuzzy set. Various properties of this definition are considered.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123651109","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 Kohonen clustering networks","authors":"E. Tsao, J. Bezdek, N. Pal","doi":"10.1109/FUZZY.1992.258797","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258797","url":null,"abstract":"The authors propose a fuzzy Kohonen clustering network which integrates the fuzzy c-means (FCM) model into the learning rate and updating strategies of the Kohonen network. This yields an optimization problem related to FCM, and the numerical results show improved convergence as well as reduced labeling errors. It is proved that the proposed scheme is equivalent to the c-means algorithms. The new method can be viewed as a Kohonen type of FCM, but it is self-organizing, since the size of the update neighborhood and the learning rate in the competitive layer are automatically adjusted during learning. Anderson's IRIS data were used to illustrate this method. The results are compared with the standard Kohonen approach.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"68 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114099318","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":"Competence set analysis for fuzzy problems","authors":"P. Yu, D. Zhang","doi":"10.1109/FUZZY.1992.258636","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258636","url":null,"abstract":"The authors introduce a framework called competence set analysis to model decision problems in fuzzy environments. They discuss such concepts as fuzzy random set decomposition of competence sets, expansion costs, and expansion rewards. Optimal expansion processes are outlined by considering both expansion costs and expansion rewards. An algorithm for finding the optimal process of expanding competence sets is described.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116282383","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}