{"title":"一种用于复杂系统建模的多用途模糊认知地图库","authors":"Michal Puheim, J. Vaščák, L. Madarász","doi":"10.1109/SAMI.2015.7061871","DOIUrl":null,"url":null,"abstract":"In this paper we explain the need for a new multi-purpose Fuzzy Cognitive Maps (FCM) library and offer its proposal. Within the paper we provide an overview of available tools and libraries along with their advantages and disadvantages. We use this information in order to build a list of necessary requirements for a new library. With these requirements in mind, we offer a proposal for a new FCM library. The proposed library aims provide flexibility and applicability for various use cases, from simple system prototyping to modeling and control of complex systems. In contrast to the most of the available FCM tools, it incorporates a built-in learning mechanisms for automated adaptation of the parameters of the map. An emphasis is placed on a simplicity of library deployment and ease of use.","PeriodicalId":276598,"journal":{"name":"2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A proposal for Multi-Purpose Fuzzy Cognitive Maps library for complex system modeling\",\"authors\":\"Michal Puheim, J. Vaščák, L. Madarász\",\"doi\":\"10.1109/SAMI.2015.7061871\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we explain the need for a new multi-purpose Fuzzy Cognitive Maps (FCM) library and offer its proposal. Within the paper we provide an overview of available tools and libraries along with their advantages and disadvantages. We use this information in order to build a list of necessary requirements for a new library. With these requirements in mind, we offer a proposal for a new FCM library. The proposed library aims provide flexibility and applicability for various use cases, from simple system prototyping to modeling and control of complex systems. In contrast to the most of the available FCM tools, it incorporates a built-in learning mechanisms for automated adaptation of the parameters of the map. An emphasis is placed on a simplicity of library deployment and ease of use.\",\"PeriodicalId\":276598,\"journal\":{\"name\":\"2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAMI.2015.7061871\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMI.2015.7061871","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A proposal for Multi-Purpose Fuzzy Cognitive Maps library for complex system modeling
In this paper we explain the need for a new multi-purpose Fuzzy Cognitive Maps (FCM) library and offer its proposal. Within the paper we provide an overview of available tools and libraries along with their advantages and disadvantages. We use this information in order to build a list of necessary requirements for a new library. With these requirements in mind, we offer a proposal for a new FCM library. The proposed library aims provide flexibility and applicability for various use cases, from simple system prototyping to modeling and control of complex systems. In contrast to the most of the available FCM tools, it incorporates a built-in learning mechanisms for automated adaptation of the parameters of the map. An emphasis is placed on a simplicity of library deployment and ease of use.