Reasoning about Fuzzy Temporal and Spatial Information from the Web

Schockaert, Steven; Cock, Martine De; Kerre, Etienne

doi:10.1142/9789814307901

Cited by 6 publications

(2 citation statements)

References 81 publications

(115 reference statements)

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“…However, the applications of fuzzy-GIS are still limited, partly due to its more complex underlying mathematics compared to the mainstream fuzzy systems. This is particularly the case for fuzzy topological relations [12], [13], Region Connection Calculus (RCC) [14] and multi-criteria fuzzy search [15].…”

Section: B the Geospatial Nature Of The Pandemic Datamentioning

confidence: 99%

Towards a Data-Driven Fuzzy-Geospatial Pandemic Modelling

Pourabdollah

Lotfi

2020

2020 IEEE Symposium Series on Computational Intelligence (SSCI)

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Section: B the Geospatial Nature Of The Pandemic Datamentioning

confidence: 99%

Towards a Data-Driven Fuzzy-Geospatial Pandemic Modelling

Pourabdollah

Lotfi

2020

2020 IEEE Symposium Series on Computational Intelligence (SSCI)

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“…There is an alternative not to answer the question (No answer check box). Those kinds of inputs allow uncertainty associated with words because words mean different things to different people and fuzzy logic uses this uncertainty [17]. -The questionnaire should be previously prepared divided into topics covering several political areas including several questions within each general area.…”

Section: Interface Agent (Ia)mentioning

confidence: 99%

Election candidates fuzzy multi-agent recommender system

Sarkanjac

Dukovska

2013

Journal of Intelligent &Amp; Fuzzy Systems

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In this paper we propose fuzzy multi-agent recommender system for candidates in state elections that is intended to serve to voters as a filter for excess of information on Internet and other media on their election candidates. The recommender system we propose should guide voters to the candidates that suit their preferences, and help them make a choice of a representative by accessing relevant information. For this system we have enrolled computing with words (CW) methodology which main concepts are graduation (linguistic variables) and granulation (a fuzzy set of points drawn together by similarity). Our proposed recommender system is appropriate for application in developing countries, because of its simplicity and its low cost. It can also serve as foundation for future development and sophistication, taking into consideration both technical and political aspects.

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Online temporal reasoning for event and data streams processing

Poli

Boudet

Mercier

2016

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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Online fuzzy expert systems can be used to process data and event streams, providing a powerful way to handle their uncertainties and their inaccuracy. Moreover, human experts can decide how to process the streams with rules close to natural language. However, to extract high level information from these streams, they need at least to describe the temporal relations between the data or the events.In this paper, we propose a straightforward way to design temporal operators which relies on the mathematical definition of some base operators and then their combination into more sophisticated operators to assess precedence, periodicity or persistence. We also introduce the concept of expiration of temporal expressions on online fuzzy expert systems, that is to say the capacity to change the values of outputs whereas the inputs have not changed.

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Reasoning about Fuzzy Temporal and Spatial Information from the Web

Cited by 6 publications

References 81 publications

Towards a Data-Driven Fuzzy-Geospatial Pandemic Modelling

Towards a Data-Driven Fuzzy-Geospatial Pandemic Modelling

Election candidates fuzzy multi-agent recommender system

Online temporal reasoning for event and data streams processing

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