A Resemblance Based Approach for Recognition of Risks at a Fire Ground

Sosnowski, Łukasz; Pietruszka, Andrzej; Krasuski, Adam; Janusz, Andrzej

doi:10.1007/978-3-319-09912-5_47

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…Results presented are extensions of results presented in the previous publication of the authors [11]. Three other methods are described in the publication: Naive Bayes, ESA, kNN Canberra.…”

Section: Resultsmentioning

confidence: 57%

“…They are not the only methods which could be used, but they are easily accessible and implementable. Experiments use results obtained earlier [11] and take into account only the aspect of optimizing the process of global aggregation. This fact means that already calculated similarity results (from a previous research) are used and now attention is paid only to selecting a final set of objects.…”

Section: Introductionmentioning

confidence: 99%

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Election Algorithms Applied to the Global Aggregation in Networks of Comparators

Sosnowski¹,

Pietruszka

Łazowy

2014

Annals of Computer Science and Information Systems

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Abstract-The paper shows the application of election algorithms in networks of comparators. We have described and adopted six election methods which have been used as an aggregator of partial results. We have performed experiments on the data gathered at the fire ground. All of them have been well described and results have been compared. The paper includes a discussion and interpretation of results obtained. It indicates the algorithm with the greatest potential to adapt and to obtain the best results.

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Section: Resultsmentioning

confidence: 57%

Section: Introductionmentioning

confidence: 99%

Election Algorithms Applied to the Global Aggregation in Networks of Comparators

Sosnowski¹,

Pietruszka

Łazowy

2014

Annals of Computer Science and Information Systems

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“…The main goal of ICRA is to build a modern AI-based, riskinformed decision support system for the Incident Commander (IC), which improves situational awareness of the IC during F&R action, thus increasing the safety of firefighters. The basic ramifications and goals of the project can be found in [17].…”

Section: B Risk Assessment During Fire and Rescue Operations 1) Probmentioning

confidence: 99%

Recognition of Compound Objects Based on Network of Comparators

Sosnowski¹,

Szczuka²

2016

Annals of Computer Science and Information Systems

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This paper proposes a methodology for compound objects' recognition based on comparators and comparator networks. The methodology is supported by a collection of techniques and algorithms for construction and learning of comparator networks. Formal description of the methodology is accompanied by selected examples of its application in reallife problems. The described methodology has been implemented as a software library and may be used for a variety of future applications. Position

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“…The role of function (...) is to synthesize local outcomes in order to send further a unique signal related to ref . Such synthesis can be based on fuzzy t-norms and s-norms, statistical tools, election algorithms and so on [11].…”

Section: Basics Of Comparatorsmentioning

confidence: 99%

Fuzzy Set Interpretation of Comparator Networks

Sosnowski

Ślęzak

2015

Lecture Notes in Computer Science

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We discuss how to model similarities between compound objects by utilizing networks of comparators. The framework is used to construct identification and classification systems. Comparing to our previous research, we pay a special attention to fuzzy-set-inspired foundations of how compound signals are processed through the network. We also reconsider some of already-known examples of applications of comparator networks, now using the proposed fuzzy-set-based terminology.

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A Resemblance Based Approach for Recognition of Risks at a Fire Ground

Cited by 5 publications

References 10 publications

Election Algorithms Applied to the Global Aggregation in Networks of Comparators

Election Algorithms Applied to the Global Aggregation in Networks of Comparators

Recognition of Compound Objects Based on Network of Comparators

Fuzzy Set Interpretation of Comparator Networks

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