Marcin Szczuka – författare

In today’s society the issue of security has become a crucial one. The use of knowledge-based technology in security applications emerges with important applications in monitoring, control, crisis, and rescue management. This volume contains extended and improved versions of selected contributions presented at the International Workshop "Monitoring, Security and Rescue Techniques in Multiagent Systems" (MSRAS 2004) held in Plock, Poland, June 7-9, 2004, bringing together the world’s leading researchers in the field.

This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.

This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.

This book constitutes the refereed proceedings of the Second International Conference on Rough Sets and Knowledge Technology, RSKT 2007, held in Toronto, Canada in May 2007 in conjunction with the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2007, both as part of the Joint Rough Set Symposium, JRS 2007.

Thisvolumecontainsthepapersselectedforpresentationatthe7thInternational Conference on Rough Sets and Current Trends in Computing (RSCTC 2010) held at the University of Warsaw, Poland, during June 28-30, 2010. This was the seventh edition of the event that has established itself as the main forum for exchange of ideas between researchersin various areasrelated to rough sets. In 2010, the conference went back to its origins both in terms of its location (the ?rst RSCTC conference was held in Warsaw, Poland in 1998) and in terms of topic coverage.The dates also markthe third anniversaryofRSEISP 2007-a conference dedicated to the memory of Zdzis law Pawlak. RSCTC2010wastoprovideresearchersandpractitionersinterestedineme- inginformationtechnologiesaforumtoshareinnovativetheories,methodologies, and applications in rough sets and its extensions. In keeping with the spirit of past rough set-based conferences, RSCTC 2010 aimed to explore synergies with other closely related areas such as computational intelligence, knowledgedisc- ery from databases and data mining, non-conventional models of computation, andWebmining.Majortopicscoveredintheseproceedingsinclude:approximate anduncertainreasoning,bioinformatics,dataandtextmining,dominance-based roughsetapproaches,evolutionarycomputing,fuzzysettheoryandapplications, logical and mathematical foundations of rough sets, perceptual systems as well as applications of rough sets and its extensions in areas such as medicine, Web intelligence and image processing.The papers included in the special and - dustrial sessions cover learning methods and mining of complex data, soft c- puting applications to multimedia and telemedicine, knowledge representation and exchange in multi-agent systems and emerging intelligent technologies in the telecommunications industry. There were 148 valid (out of 163 in total) submissions to RSCTC 2010. Every paper was examined by at least two reviewers. Out of the papers initially selected,somewereapprovedsubjecttorevisionandthenadditionallyevaluated.