Research Topic

Fuzziness in Smart Cities

About this Research Topic

The activities in smart cities are focused mainly on effectiveness. Although remarkable, it is not sufficient. We should also consider citizens active participation from suitable informing (regarding all aspects of development) to flexible voting. Having different levels of statistical and IT literacy among stakeholders in mind, and quantitative and qualitative nature of data, the computing with words concept (based on fuzzy sets and fuzzy logic) is a promising way to cover these topics. Further, many concepts cannot be sharply formalized and many data are fuzzy in their nature. Managing fuzzy data, inferring from the data, measuring developments, mining patterns, managing flexible voting and data summarization are tasks, which can be solved by fuzzy logic approaches.
This Research Topic covers but is not limited to the below fields:
-Theoretical achievements
-Future of fuzzy logic in smart cities
-From smart to cognitive cities
-Inferring by computing with words
-Granular computing
-Human-centred computing
-Real-world use cases
-Data and information interpretation and visualization
-Negative aspects and possible solutions


Keywords: fuzziness, fuzzy, logic, fuzzy logic, smart cities, cognitive


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

The activities in smart cities are focused mainly on effectiveness. Although remarkable, it is not sufficient. We should also consider citizens active participation from suitable informing (regarding all aspects of development) to flexible voting. Having different levels of statistical and IT literacy among stakeholders in mind, and quantitative and qualitative nature of data, the computing with words concept (based on fuzzy sets and fuzzy logic) is a promising way to cover these topics. Further, many concepts cannot be sharply formalized and many data are fuzzy in their nature. Managing fuzzy data, inferring from the data, measuring developments, mining patterns, managing flexible voting and data summarization are tasks, which can be solved by fuzzy logic approaches.
This Research Topic covers but is not limited to the below fields:
-Theoretical achievements
-Future of fuzzy logic in smart cities
-From smart to cognitive cities
-Inferring by computing with words
-Granular computing
-Human-centred computing
-Real-world use cases
-Data and information interpretation and visualization
-Negative aspects and possible solutions


Keywords: fuzziness, fuzzy, logic, fuzzy logic, smart cities, cognitive


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

31 May 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

31 May 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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