Pub Date : 2009-10-02DOI: 10.1109/FUZZY.2009.5277316
S. Ajorlou, A. Ajorlou
In a single-stage sampling plan, the decision to accept or reject a lot is made based on inspecting a random sample of certain size from the lot. There are two possible errors in any sampling plan; a good lot may get rejected (known as the producer's risk), or a bad lot may get accepted (known as the consumer's risk). Conventional designs may result in needlessly large sample size. The sample size n can be reduced by relaxing the conditions on the producer's and consumer's risks. In this paper, we propose a method for constructing the membership function of the grade of satisfaction for the sample size n based on the shape of the sampling cost function. Based on that, we find a reasonable solution to the trade-off between relaxing the conditions on the actual risks and the sample size n. The membership function of the grade of satisfaction for the sample size is derived for three general sampling cost functions, and the advantages of the proposed methodology over the existing methods is illustrated via a numerical example.
{"title":"A fuzzy-based design procedure for a single-stage sampling plan","authors":"S. Ajorlou, A. Ajorlou","doi":"10.1109/FUZZY.2009.5277316","DOIUrl":"https://doi.org/10.1109/FUZZY.2009.5277316","url":null,"abstract":"In a single-stage sampling plan, the decision to accept or reject a lot is made based on inspecting a random sample of certain size from the lot. There are two possible errors in any sampling plan; a good lot may get rejected (known as the producer's risk), or a bad lot may get accepted (known as the consumer's risk). Conventional designs may result in needlessly large sample size. The sample size n can be reduced by relaxing the conditions on the producer's and consumer's risks. In this paper, we propose a method for constructing the membership function of the grade of satisfaction for the sample size n based on the shape of the sampling cost function. Based on that, we find a reasonable solution to the trade-off between relaxing the conditions on the actual risks and the sample size n. The membership function of the grade of satisfaction for the sample size is derived for three general sampling cost functions, and the advantages of the proposed methodology over the existing methods is illustrated via a numerical example.","PeriodicalId":117895,"journal":{"name":"2009 IEEE International Conference on Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123731685","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}
Pub Date : 2009-10-02DOI: 10.1109/FUZZY.2009.5277079
Hirosato Seki
This paper addresses equivalence of fuzzy inference methods. It first presents fuzzy inference methods: the product–sum–gravity method, fuzzy singleton-type inference method and single input rule modules connected type fuzzy inference method (SIRMs method). Secondly, three fuzzy inference methods of the product–sum–gravity method, fuzzy singleton-type inference method and SIRMs method which are all widely used as fuzzy control methods are shown to be equivalent to each other. Finally, we propose a “fuzzy singleton-type SIRMs method” as weighted SIRMs method, and also shown to be the equivalent between the proposed SIRMs method and above three fuzzy inference methods.
{"title":"On the equivalence of SIRMs connected fuzzy inference method","authors":"Hirosato Seki","doi":"10.1109/FUZZY.2009.5277079","DOIUrl":"https://doi.org/10.1109/FUZZY.2009.5277079","url":null,"abstract":"This paper addresses equivalence of fuzzy inference methods. It first presents fuzzy inference methods: the product–sum–gravity method, fuzzy singleton-type inference method and single input rule modules connected type fuzzy inference method (SIRMs method). Secondly, three fuzzy inference methods of the product–sum–gravity method, fuzzy singleton-type inference method and SIRMs method which are all widely used as fuzzy control methods are shown to be equivalent to each other. Finally, we propose a “fuzzy singleton-type SIRMs method” as weighted SIRMs method, and also shown to be the equivalent between the proposed SIRMs method and above three fuzzy inference methods.","PeriodicalId":117895,"journal":{"name":"2009 IEEE International Conference on Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126743593","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}
Pub Date : 2009-10-02DOI: 10.1109/FUZZY.2009.5277252
Rong-Jyue Wang
In this paper, the T-S fuzzy model approach is extended to design fuzzy controllers for the stabilizability of nonlinear systems with multiple non-commensurate time delays. Three types of fuzzy controllers are state feedback, observer-based state feedback, and output feedback fuzzy controller with time delay information. Based on the concept of the parallel distributed compensation (PDC) and the delay-dependent Lyapunov functional approach, some control design methods are proposed to stabilize the whole fuzzy time-delay system asymptotically. These design approaches are all dependent on time delays. By Schur complement, these sufficient conditions can be easily transformed into the problem of LMI's. The practical example based on the CSTR (continuous stirred tank reactor) model is given to illustrate the control designs and their effectiveness.
{"title":"Delay-dependent fuzzy controller design for stabilization of nonlinear systems with multiple non-commensurate time delays","authors":"Rong-Jyue Wang","doi":"10.1109/FUZZY.2009.5277252","DOIUrl":"https://doi.org/10.1109/FUZZY.2009.5277252","url":null,"abstract":"In this paper, the T-S fuzzy model approach is extended to design fuzzy controllers for the stabilizability of nonlinear systems with multiple non-commensurate time delays. Three types of fuzzy controllers are state feedback, observer-based state feedback, and output feedback fuzzy controller with time delay information. Based on the concept of the parallel distributed compensation (PDC) and the delay-dependent Lyapunov functional approach, some control design methods are proposed to stabilize the whole fuzzy time-delay system asymptotically. These design approaches are all dependent on time delays. By Schur complement, these sufficient conditions can be easily transformed into the problem of LMI's. The practical example based on the CSTR (continuous stirred tank reactor) model is given to illustrate the control designs and their effectiveness.","PeriodicalId":117895,"journal":{"name":"2009 IEEE International Conference on Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121623192","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}
Pub Date : 2009-10-02DOI: 10.1109/FUZZY.2009.5277155
Teng-San Shih, Jin-Shieh Su, Huey-Ming Lee
In this article, we study a fuzzy optimization problem in business and economics. In this problem, a fuzzy price is determined using a linear one degree demand function. The objective is to find the optimal fuzzy revenue, which is derived from the fuzzy price. We use level (λ, 1) interval-valued fuzzy numbers to consider fuzzy price and fuzzy revenue. Using signed distance to defuzzify, we can get the demand function and revenue function in fuzzy sense. What follows is that we can find the maximum revenue in fuzzy sense.
{"title":"Optimal revenue for fuzzy price based on interval-valued fuzzy numbers","authors":"Teng-San Shih, Jin-Shieh Su, Huey-Ming Lee","doi":"10.1109/FUZZY.2009.5277155","DOIUrl":"https://doi.org/10.1109/FUZZY.2009.5277155","url":null,"abstract":"In this article, we study a fuzzy optimization problem in business and economics. In this problem, a fuzzy price is determined using a linear one degree demand function. The objective is to find the optimal fuzzy revenue, which is derived from the fuzzy price. We use level (λ, 1) interval-valued fuzzy numbers to consider fuzzy price and fuzzy revenue. Using signed distance to defuzzify, we can get the demand function and revenue function in fuzzy sense. What follows is that we can find the maximum revenue in fuzzy sense.","PeriodicalId":117895,"journal":{"name":"2009 IEEE International Conference on Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125270759","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}
Pub Date : 2009-10-02DOI: 10.1109/FUZZY.2009.5277083
Huan-Wen Tzeng, Sheng-Kai Hung
This paper proposes a success control application using a Neural-Fuzzy System (NFS) algorithm to control the Ball-Beam balance system, through learning, simulation, and implementation. First, the control system requires control measurement input, enabling it to generate fuzzy control rules automatically, and then the neural-fuzzy system undergoes a series of learning processes to achieve the best simulation results. Finally, the prototype of a control system is realized with good performance.
{"title":"Design of ball-beam balance control system using neural-fuzzy algorithm","authors":"Huan-Wen Tzeng, Sheng-Kai Hung","doi":"10.1109/FUZZY.2009.5277083","DOIUrl":"https://doi.org/10.1109/FUZZY.2009.5277083","url":null,"abstract":"This paper proposes a success control application using a Neural-Fuzzy System (NFS) algorithm to control the Ball-Beam balance system, through learning, simulation, and implementation. First, the control system requires control measurement input, enabling it to generate fuzzy control rules automatically, and then the neural-fuzzy system undergoes a series of learning processes to achieve the best simulation results. Finally, the prototype of a control system is realized with good performance.","PeriodicalId":117895,"journal":{"name":"2009 IEEE International Conference on Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126606914","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}
Pub Date : 2009-10-02DOI: 10.1109/FUZZY.2009.5277210
H. Masuta, N. Kubota
This paper discusses a perceptual system for an intelligent service robot based on the Perceiving-Acting Cycle. Recently, various intelligent robots work in real environments such as public facilities, commerce facilities and houses. We are developing an intelligent service robot. The task of this robot is to clear the table in a restaurant. In this environment, the robot must perceive the necessary information from various information to take a flexible action like a human. In this study, we focus on the perceptual system based on perceiving-acting cycle discussed in ecological psychology. First, we propose a retinal model for a 3D-range camera based on human retinal structure, and the information extraction method using a spiking neural network based on perceiving-acting cycle. Next, we apply the proposed method for a task of clearing the table. As an experimental result, we show the proposed method can detect a dish in dynamic environment. We discuss the efficiency of our proposed method.
{"title":"Perceptual system for clearing the table based on the perceiving-acting cycle","authors":"H. Masuta, N. Kubota","doi":"10.1109/FUZZY.2009.5277210","DOIUrl":"https://doi.org/10.1109/FUZZY.2009.5277210","url":null,"abstract":"This paper discusses a perceptual system for an intelligent service robot based on the Perceiving-Acting Cycle. Recently, various intelligent robots work in real environments such as public facilities, commerce facilities and houses. We are developing an intelligent service robot. The task of this robot is to clear the table in a restaurant. In this environment, the robot must perceive the necessary information from various information to take a flexible action like a human. In this study, we focus on the perceptual system based on perceiving-acting cycle discussed in ecological psychology. First, we propose a retinal model for a 3D-range camera based on human retinal structure, and the information extraction method using a spiking neural network based on perceiving-acting cycle. Next, we apply the proposed method for a task of clearing the table. As an experimental result, we show the proposed method can detect a dish in dynamic environment. We discuss the efficiency of our proposed method.","PeriodicalId":117895,"journal":{"name":"2009 IEEE International Conference on Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114660040","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}
Pub Date : 2009-10-02DOI: 10.1109/FUZZY.2009.5277368
Chang Suk Kim, Sung-Shin Park
Web-based e-Learning is free from time and space to learn. It is very convenient to study without going to school. But web-based e-Learning has a merit and demerits. Most of web-based e-Learning learners used to study alone in isolated space. This is major shortcoming of the web-based e-Learning. Virtual presence e-Learning method using learning record of collective intelligence has a facility to study concurrent learning. It uses study records of other students to support e-Learning student to use the study history such as questions, comment etc. This approach has an effect virtual presence of lots students.
{"title":"Virtual presence e-Learning using learning history database of collective intelligence","authors":"Chang Suk Kim, Sung-Shin Park","doi":"10.1109/FUZZY.2009.5277368","DOIUrl":"https://doi.org/10.1109/FUZZY.2009.5277368","url":null,"abstract":"Web-based e-Learning is free from time and space to learn. It is very convenient to study without going to school. But web-based e-Learning has a merit and demerits. Most of web-based e-Learning learners used to study alone in isolated space. This is major shortcoming of the web-based e-Learning. Virtual presence e-Learning method using learning record of collective intelligence has a facility to study concurrent learning. It uses study records of other students to support e-Learning student to use the study history such as questions, comment etc. This approach has an effect virtual presence of lots students.","PeriodicalId":117895,"journal":{"name":"2009 IEEE International Conference on Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123855085","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}
Pub Date : 2009-10-02DOI: 10.1109/FUZZY.2009.5277395
Francesc Tinena, P. Sobrevilla, E. Montseny
Transplantation of corneal tissue is a usual practice in hospitals. The analysis of microscopy images of donor corneal endothelium is routinely carried out at eye banks for the clinical assessment of cornea quality and suitability for transplantation. One of the main clinical parameters expressing the health of a cornea, and assessing their suitability as a human graft, is the cell density of its endothelium. Endothelium cell density is conventionally estimated by a long, tedious and error-prone manual counting procedure, carried out by experts who, according to a protocol, observe specimen images through an optical microscope. Besides a great subjectivity, this manual process causes a great disparity in the results derived from the protocol considered. Another additional and very important drawback is that images are often blurred and noisy, what makes very difficult the correct recognition of the cells. Taking into account aforementioned problems, this paper introduces a computer intelligence-based system for automatic segmentation of corneal endothelium images that in addition to facilitating technicians work of will reduce the disparity of results
{"title":"On quality assessment of corneal endothelium and its possibility to be used for surgical corneal transplantation","authors":"Francesc Tinena, P. Sobrevilla, E. Montseny","doi":"10.1109/FUZZY.2009.5277395","DOIUrl":"https://doi.org/10.1109/FUZZY.2009.5277395","url":null,"abstract":"Transplantation of corneal tissue is a usual practice in hospitals. The analysis of microscopy images of donor corneal endothelium is routinely carried out at eye banks for the clinical assessment of cornea quality and suitability for transplantation. One of the main clinical parameters expressing the health of a cornea, and assessing their suitability as a human graft, is the cell density of its endothelium. Endothelium cell density is conventionally estimated by a long, tedious and error-prone manual counting procedure, carried out by experts who, according to a protocol, observe specimen images through an optical microscope. Besides a great subjectivity, this manual process causes a great disparity in the results derived from the protocol considered. Another additional and very important drawback is that images are often blurred and noisy, what makes very difficult the correct recognition of the cells. Taking into account aforementioned problems, this paper introduces a computer intelligence-based system for automatic segmentation of corneal endothelium images that in addition to facilitating technicians work of will reduce the disparity of results","PeriodicalId":117895,"journal":{"name":"2009 IEEE International Conference on Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116964310","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}
Pub Date : 2009-10-02DOI: 10.1109/FUZZY.2009.5277295
A. Hadipour
By two reletions belonging to (∊) and quasi-coincidence (q) between fuzzy points and fuzzy sets, we define the concept of (α, β)-fuzzy subalgebras where α, ß are any two of {∊, q, ∊ Vq, ∊ ∧q} with α ≢ ∊ ∧q. We state and prove some theorems in (α, β)-fuzzy BF-algebras.
{"title":"On generalized fuzzy BF-Algebras","authors":"A. Hadipour","doi":"10.1109/FUZZY.2009.5277295","DOIUrl":"https://doi.org/10.1109/FUZZY.2009.5277295","url":null,"abstract":"By two reletions belonging to (∊) and quasi-coincidence (q) between fuzzy points and fuzzy sets, we define the concept of (α, β)-fuzzy subalgebras where α, ß are any two of {∊, q, ∊ Vq, ∊ ∧q} with α ≢ ∊ ∧q. We state and prove some theorems in (α, β)-fuzzy BF-algebras.","PeriodicalId":117895,"journal":{"name":"2009 IEEE International Conference on Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115339644","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}
Pub Date : 2009-10-02DOI: 10.1109/FUZZY.2009.5277216
H. Takeuchi
The purpose of this paper is to propose a method for automatically evaluating Web site menu structures. The evaluation system requires content data and a menu structure with link names. This approach consists of three stages. First, the system classifies the content data into appropriate links. Second, the system identifies the usability problems for all content data. Third, the system calculates an index that indicates the averaged predicted mouse clicks for the menu structure. As applications, a link name selection problem and a link structure evaluation problem are discussed. This system was also applied to real data, such as Encarta's and Wikipedia's menus. The results confirmed the usefulness of the system.
{"title":"An automatic web site menu structure evaluation","authors":"H. Takeuchi","doi":"10.1109/FUZZY.2009.5277216","DOIUrl":"https://doi.org/10.1109/FUZZY.2009.5277216","url":null,"abstract":"The purpose of this paper is to propose a method for automatically evaluating Web site menu structures. The evaluation system requires content data and a menu structure with link names. This approach consists of three stages. First, the system classifies the content data into appropriate links. Second, the system identifies the usability problems for all content data. Third, the system calculates an index that indicates the averaged predicted mouse clicks for the menu structure. As applications, a link name selection problem and a link structure evaluation problem are discussed. This system was also applied to real data, such as Encarta's and Wikipedia's menus. The results confirmed the usefulness of the system.","PeriodicalId":117895,"journal":{"name":"2009 IEEE International Conference on Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123257834","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}
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