Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems Part 1, Jul 15, 2002
Page 1. Agent Organizations with Utility Based Fuzzy Coalitions Leonid B. Sheremetov1,2 1Center f... more Page 1. Agent Organizations with Utility Based Fuzzy Coalitions Leonid B. Sheremetov1,2 1Center for Computing Research of the National Technical University, (CIC IPN), Mexico Av. Juan de Dios Batiz s/n Col. Nueva Industrial ...
Abstract In a complicated business network finding a supplier can be a very time consuming task. ... more Abstract In a complicated business network finding a supplier can be a very time consuming task. In advanced supply networks like Build-to-Order supply chains, this task should be carried out under time constraints and under uncertainties both in suppliers and in the orders. ...
This article reports on the results and future research work within the paradigm of Configurable ... more This article reports on the results and future research work within the paradigm of Configurable Collaborative Distance Learning, which we have named EVA (states for Virtual Learning Spaces in Spanish). The article focuses on the description of the main concepts, architecture, software and LAN/ATM hardware platform developed for the EVA interactive environment. This environment is the result of the investigation and development of pedagogical models and information technologies to support learning activities of teams of students (planning, consulting, collaboration, etc.). ATM and SONET technologies have been used for the Experimental Laboratory of Virtual Learning based on LAN/ATM network.
Expert knowledge in most of application domains is uncertain, incomplete and perception-based. Fo... more Expert knowledge in most of application domains is uncertain, incomplete and perception-based. For processing such expert knowledge an expert system should be able to represent and manipulate perception-based evaluations of uncertainties of facts and rules, to support multiple-valuedness of variables, and to make conclusions with unknown values of variables. This paper describes an uncertainty model based on two algebras of conjunctive and disjunctive multi-sets used by the inference engine for processing perception-based evaluations of uncertainties. The discussion is illustrated by examples of the expert system, called SMART-Agua, which is aimed to diagnose and give solution to water production problems in petroleum wells.
Abstract. Import of intelligent features to time series analysis including the possibility of ope... more Abstract. Import of intelligent features to time series analysis including the possibility of operating with linguistic information, reasoning and replying on intelligent queries is the prospective direction of development of such systems. The paper proposes novel methods of perception based ...
ABSTRACT Time series data mining (TSDM) techniques permit exploring large amounts of time series ... more ABSTRACT Time series data mining (TSDM) techniques permit exploring large amounts of time series data in search of consistent patterns and/or interesting relationships between variables. TSDM is becoming increasingly important as a knowledge management tool where it is expected to reveal knowledge structures that can guide decision making in conditions of limited certainty. Human decision making in problems related with analysis of time series databases is usually based on perceptions like “end of the day”, “high temperature”, “quickly increasing”, “possible”, etc. Though many effective algorithms of TSDM have been developed, the integration of TSDM algorithms with human decision making procedures is still an open problem. In this paper, we consider architecture of perception-based decision making system in time series databases domains integrating perception-based TSDM, computing with words and perceptions, and expert knowledge. The new tasks which should be solved by the perception-based TSDM methods to enable their integration in such systems are discussed. These tasks include: precisiation of perceptions, shape pattern identification, and pattern retranslation. We show how different methods developed so far in TSDM for manipulation of perception-based information can be used for development of a fuzzy perception-based TSDM approach. This approach is grounded in computing with words and perceptions permitting to formalize human perception-based inference mechanisms. The discussion is illustrated by examples from economics, finance, meteorology, medicine, etc.
EFTA 2003. 2003 IEEE Conference on Emerging Technologies and Factory Automation. Proceedings (Cat. No.03TH8696), 2003
... Biometrics authentication techniques include fingerprint recognition. retinal scanning, hand ... more ... Biometrics authentication techniques include fingerprint recognition. retinal scanning, hand geometry scanning and handwriting and voice recognition [SI. ... This requires that all parties interact with agencies through a common security architecture and authentication process. ...
Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems Part 1, Jul 15, 2002
Page 1. Agent Organizations with Utility Based Fuzzy Coalitions Leonid B. Sheremetov1,2 1Center f... more Page 1. Agent Organizations with Utility Based Fuzzy Coalitions Leonid B. Sheremetov1,2 1Center for Computing Research of the National Technical University, (CIC IPN), Mexico Av. Juan de Dios Batiz s/n Col. Nueva Industrial ...
Abstract In a complicated business network finding a supplier can be a very time consuming task. ... more Abstract In a complicated business network finding a supplier can be a very time consuming task. In advanced supply networks like Build-to-Order supply chains, this task should be carried out under time constraints and under uncertainties both in suppliers and in the orders. ...
This article reports on the results and future research work within the paradigm of Configurable ... more This article reports on the results and future research work within the paradigm of Configurable Collaborative Distance Learning, which we have named EVA (states for Virtual Learning Spaces in Spanish). The article focuses on the description of the main concepts, architecture, software and LAN/ATM hardware platform developed for the EVA interactive environment. This environment is the result of the investigation and development of pedagogical models and information technologies to support learning activities of teams of students (planning, consulting, collaboration, etc.). ATM and SONET technologies have been used for the Experimental Laboratory of Virtual Learning based on LAN/ATM network.
Expert knowledge in most of application domains is uncertain, incomplete and perception-based. Fo... more Expert knowledge in most of application domains is uncertain, incomplete and perception-based. For processing such expert knowledge an expert system should be able to represent and manipulate perception-based evaluations of uncertainties of facts and rules, to support multiple-valuedness of variables, and to make conclusions with unknown values of variables. This paper describes an uncertainty model based on two algebras of conjunctive and disjunctive multi-sets used by the inference engine for processing perception-based evaluations of uncertainties. The discussion is illustrated by examples of the expert system, called SMART-Agua, which is aimed to diagnose and give solution to water production problems in petroleum wells.
Abstract. Import of intelligent features to time series analysis including the possibility of ope... more Abstract. Import of intelligent features to time series analysis including the possibility of operating with linguistic information, reasoning and replying on intelligent queries is the prospective direction of development of such systems. The paper proposes novel methods of perception based ...
ABSTRACT Time series data mining (TSDM) techniques permit exploring large amounts of time series ... more ABSTRACT Time series data mining (TSDM) techniques permit exploring large amounts of time series data in search of consistent patterns and/or interesting relationships between variables. TSDM is becoming increasingly important as a knowledge management tool where it is expected to reveal knowledge structures that can guide decision making in conditions of limited certainty. Human decision making in problems related with analysis of time series databases is usually based on perceptions like “end of the day”, “high temperature”, “quickly increasing”, “possible”, etc. Though many effective algorithms of TSDM have been developed, the integration of TSDM algorithms with human decision making procedures is still an open problem. In this paper, we consider architecture of perception-based decision making system in time series databases domains integrating perception-based TSDM, computing with words and perceptions, and expert knowledge. The new tasks which should be solved by the perception-based TSDM methods to enable their integration in such systems are discussed. These tasks include: precisiation of perceptions, shape pattern identification, and pattern retranslation. We show how different methods developed so far in TSDM for manipulation of perception-based information can be used for development of a fuzzy perception-based TSDM approach. This approach is grounded in computing with words and perceptions permitting to formalize human perception-based inference mechanisms. The discussion is illustrated by examples from economics, finance, meteorology, medicine, etc.
EFTA 2003. 2003 IEEE Conference on Emerging Technologies and Factory Automation. Proceedings (Cat. No.03TH8696), 2003
... Biometrics authentication techniques include fingerprint recognition. retinal scanning, hand ... more ... Biometrics authentication techniques include fingerprint recognition. retinal scanning, hand geometry scanning and handwriting and voice recognition [SI. ... This requires that all parties interact with agencies through a common security architecture and authentication process. ...
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