Abstract
The shift to smart cities, and further to cognitive cities, should follow citizens’ needs, and not only the efficient use of resources. Citizens wish to cooperate in decision-making (or voting) and to be informed about various developments in cities, preferably in comprehensible ways. But, summing up from a large amount of data and gamut of data types is not an easy task. Furthermore, many concepts and predicates are expressed by adjectives and adverbs. Hence, the option are linguistic summaries based on the fuzzy sets and fuzzy logic theory. Other stakeholders in cities (dispatchers, planners, marketers, local government, journalists) may also benefit from this approach. Linguistic summaries are able to verbalize mined information from the data by quantified sentences of natural language such as most of young citizens have rather negative opinion about topic T and most of foreign visits are from countries with medium GDP. Illustrative examples are focused on informing citizens, managing surveys, explaining development in pollution and traffic, analysing tourist activities. In this way, stakeholders are informed in a concise way about the situation and trends. They can also recognize the effects of regulations which had been brought in. Another benefit is that citizens are better prepared for voting. This contribution also emphasizes the fact that these achievements can be realized without collecting sensitive data from citizens using them as sensors (except volunteers, which prefer simpler data collection). Moreover, exchange of summaries is not as demanding as exchanging sensitive data.
The original version of this chapter was revised: Affiliation of author “Prof. Miroslav Hudec” has been updated. The correction to this chapter is available at https://doi.org/10.1007/978-3-030-00317-3_11
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Change history
20 November 2018
The affiliation “Faculty of Economic Informatics, University of Economics in Bratislava” of author “Prof. Miroslav Hudec” in the original version of the book has been changed to “Faculty of Organizational Sciences, University of Belgrade” in the chapter “Possibilities for Linguistic Summaries in Cognitive Cities”. The correction book has been updated with the change.
References
Ahas R, Aasa A, Roose A, Mark U, Silm S (2010) Evaluating passive mobile positioning data for tourism surveys: an estonian case study. Tour Manag 29:469–486
Ahas R, Tiru M, Saluveer E, Demunter C (2011) Mobile telephones and mobile positioning data as source for statistics: Estonian experiences. In: New techniques and technologies for statistics (NTTS 2011). Brussels
Almeida R, Lesot M-J, Bouchon-Meunier B, Kaymak U, Moyse G (2013) Linguistic summaries of categorical time series patient data. In: 2013 IEEE international conference on fuzzy systems (FUZZ-IEEE 2013). Hyderabad, pp 1–8
Andridge R, Little R (2010) A review of hot deck imputation for survey non-response. Int Stat Rev 78:40–64
Arguelles L, Triviño G (2013) I-struve: automatic linguistic descriptions of visual double stars. Eng Appl Artif Intell 26:2083–2092
Beliakov G, Pradera A, Calvo T (2007) Aggregation functions: a guide for practitioners. Springer, Berlin
Block W (2011) Documenting a wider variety of data using the data documentation initiative 3.1. DDI Working Paper Series-Longitudinal Best Practice, No 1. DDI alliance
Bojadziev G, Bojadziev M (2007) Fuzzy logic for business, finance and management, 2nd edn. World Scientific Publishing Co, London
Boran F, Akay D, Yager R (2016) An overview of methods for linguistic summarization with fuzzy sets. Expert Syst Appl 61:356–377
Branco A, Evsukoff A, Ebecken N (2005) Generating fuzzy queries from weighted fuzzy classifier rules. In: ICDM workshop on computational intelligence in data mining. Houston, pp 21–28
Campbell M, Swinscow T (2009) Statistics at square one, 11th edn. Wiley, West Sussex
Chasset P (2016) Tracking cross–borders commuters fatigue through twitter: a new sampling strategy. In: Mobile Tartu 2016. Tartu
Date C (2006) Date on databases: writings 2000–2006. Apress, New York
Demunter C, Reis F (2015) Using mobile positioning data for official statistics: daydream nation or promised land? In: New techniques and technologies for statistics (NTTS 2015). Brussels
Doukas C, Maglogiannis I (2012) Bringing iot and cloud computing towards pervasive healthcare. In: Sixth international conference on innovative mobile and internet services in ubiquitous computing (IMIS 2012). Palermo, pp 922–926
Duraj A, Szczepaniak PS, Ochelska-Mierzejewska J (2016) Detection of outlier information using linguistic summarization. In: Andreasen T, Christiansen H, Kacprzyk J, Larsen H, Pasi G, Pivert O, De Tré, G, Vila MA, Yazici A, Zadrożny, S (eds) Flexible query answering systems 2015. Springer, International Publishing Switzerland, pp 101–113
Few S (2006) Information Dashboard Design. O’Reilly, North Sebastopol
Finger M, Portmann E (2016) What are cognitive cities? In: Finger M, Portmann E (eds) Towards cognitive cities-advances in cognitive computing and its application to the governance of large urban systems. Springer, International Publishing Switzerland, pp 1–11
Galindo J, Urrutia A, Piattini M (2006) Fuzzy databases-modeling, design and implementation. Idea Group Publishing, Hershey
Giesen DE (2011) Response burden in official business surveys: measurement and reduction practices of national statistical institute. Deliverable 2.2, Blue-Ets Project. European Commission, Brussels
Hirota K, Pedrycz W (1999) Fuzzy computing for data mining. Proc IEEE 87:1575–1600
Huang A, Fioreze T, Thomas T (2016) On personalised positive incentives to reduce car use: a micro–experiment to promote cycling on the campus of the University of twente. In: Mobile Tartu 2016. Tartu
Hudec M (2014) Linguistic summaries applied on statistics-case of municipal statistics. Austrian J Stat 43:63–75
Hudec M (2015) Storing and analysing fuzzy data from surveys by relational databases and fuzzy logic approaches. In: XXV IEEE international conference on information, communication and automation technologies (ICAT 2015). Sarajevo, pp 220–225
Hudec M (2016) Fuzziness in information systems –How to deal with crisp and fuzzy data in selection, classification and summarization. Springer, International Publishing Switzerland
Hudec M (2017) Merging validity and coverage for measuring quality of data summaries. In: Kulczycki P, Kóczy L, Mesiar R, Kacprzyk J (eds) Information technology and computational physics, advances in intelligent systems and computing. Springer, International Publishing Switzerland, pp 71–85
Hudec M, Praženka D (2016) Collecting, storing and managing fuzzy data in statistical relational databases. Stat J IAOS 32:245–255
Hudec M, Torres Van Grinsven V (2013) Business’ participants motivation in official surveys by fuzzy logic. In: 1st Eurasian multidisciplinary forum (EMF 2013), vol 3. Tbilisi, pp 42–52
Hudec M, Vučetić M, Vujošević M (2014) Synergy of linguistic summaries and fuzzy functional dependencies for mining knowledge in the data. In: 18th IEEE International conference on system theory, control and computing (ICSTCC 2014). Sinaia, pp 335–340
Jensen C, Pedersen T, Thomsen C (2010) Multidimensional databases and data warehousing. Morgan & Claypool Publishers
Juriová J (2011) Use of neural networks for data mining in official statistics. In: New techniques and technologies for statistics (NTTS 2011). Brussels
Kacprzyk J, Wilbik A, Zadrożny S (2008) Linguistic summarization of time series using a fuzzy quantifier driven aggregation. Fuzzy Sets Syst 159:1485–1499
Kaltenrieder P, D’Onofrio S, Portmann E (2015) Enhancing multidirectional communication for cognitive cities. In: Second IEEE international conference eDemocracy & eGovernment (ICEDEG 2015). Quito, pp 38–43
Kane T (1988) The new Oxford guide to writing. Oxford University Press, Oxford
Keefe R (2000) Theories of vagueness. Cambridge University Press, Cambridge
Kimball R, Ross M (2013) The data warehouse toolkit, 3rd edn. Wiley, New York
KÄľuÄŤik M (2012) Estimates of foreign trade using genetic programming In: 46th Scientific meeting of the Italian statistical society (SIS 2012). Rome
Ladner A, Meier A (2014) Digitale politische partizipation-spannungsfeld zwischen mypolitics und ourpolitics. HMD Praxis der Wirtschaftsinformatik 51:867–882
Lesot M-J, Moyse G, Bouchon-Meunier B (2016) Interpretability of fuzzy linguistic summaries. Fuzzy Sets Syst 292:307–317
Li Q (2013) A novel likert scale based on fuzzy set theory. Expert Syst Appl 40:1609–1618
Likert R (1932) A technique for te measurement of attitudes. Arch. Psychol. 22(140):1–55
Liu B (2011) Uncertain logic for modeling human language. J Uncertain Syst 5:3–20
Miller G (1956) The magical number seven, plus or minus two. Some limits on our capacity for processing information. Psychol Rev 63:81–97
Mostashari A, Arnold F, Mansouri M, Finger M (2011) Cognitive cities and intelligent urban governance. Netw Ind Q 13:4–7
Moyse G, Lesot M-J, Bouchon-Meunier B (2013) Linguistic summaries for periodicity detection based on mathematical morphology. In: 2013 IEEE symposium on foundations of computational intelligence (FOCI). Singapore, pp 106–113
Moyser R, Uffer S (2016) From smart to cognitive: a roadmap for the adoption of technology in cities. In: Finger M, Portmann E (eds) Towards cognitive cities-advances in cognitive computing and its application to the governance of large urban systems. Springer, International Publishing Switzerland, pp 13–35
Niewiadomski A (2002) Appliance of fuzzy relations for text documents comparing. In 6th Conference on neural networks and soft computing (ICNNSC 2002). Zakopane, pp 347–352
Niewiadomski A, Ochelska J, Szczepaniak P (2006) Interval-valued linguistic summaries of databases. Control Cybern 35:415–443
OECD (2012) OECD environmental outlook to 2050. The consequences of inaction. OECD Publishing, Paris
Ovaska S (2005) Introduction to fusion of soft computing and hard computing. In Ovaska S. (ed) Computationally intelligent hybrid systems: the fusion of soft computing and hard computing. Wiley, Hoboken, pp 5–30
Perticone V, Tabacchi M (2016) Towards the improvement of citizen communication through computational intelligence. In: Finger M, Portmann E (eds) Towards cognitive cities-advances in cognitive computing and its application to the governance of large urban systems. Springer, International Publishing Switzerland, pp 83–100
Rasmussen D, Yager R (1997) Summary sql-a fuzzy tool for data mining. Intell Data Anal 1:49–58
Reinau K (2016) Smart card data in a peripheral region: modularity analysis and the geography of passenger flows. In: Mobile Tartu 2016. Tartu
Ruspini E (1969) A new approach to clustering. Inf Contr 15:22–32
Smits G, Pivert O, Girault T (2013) Reqflex: fuzzy queries for everyone. In: 39th international conference on very large data bases. Trento, pp 1206–1209
Terán L, Kaskina A, Meier A (2016) Maturity model for cognitive cities. In: Finger M, Portmann E (eds) Towards cognitive cities-advances in cognitive computing and its application to the governance of large urban systems. Springer, International Publishing Switzerland, pp 37–59
Thomas W (2015) Data capture: tracking data from source to results. In: North American DDI user conference (NADDI). Wisconsin
Tiru M (2014) Overview of the sources and challenges of mobile positioning data for statistics. In: International conference on Big data for official statistics, Beijing
Torres van Grinsven V (2015) Motivation in business survey response behavior. PhD thesis, University of Utrecht, Utrecht
Torres van Grinsven V, Snijkers G (2015) Sentiments and perceptions of business respondents on social media: an exploratory analysis. J Official Stat 31:283–304
Tudorie C (2008) Qualifying objects in classical relational database querying. In: Galindo J (ed) Handbook of research on fuzzy information processing in databases. Information Science Reference, Hershey, pp 218–245
van der Heide A, Trivino G (2009) Automatically generated linguistic summaries of energy consumption data. In: Intelligent system design and applications (ISDA 2009). Pisa, pp 553–559
Viertl R (2011) Fuzzy data and information systems. In: 15th WSEAS international conference on systems. Corfu, pp 83–85
Škrbić S, Racković M, Takači A (2011) Towards the methodology for development of fuzzy relational database applications. Comput Sci Inf Syst 8:27–40
Wehrle M, Osswald M, Portmann E (2016) Verbalization of dependencies between concepts built through fuzzy cognitive maps. In: Finger M, Portmann E (eds) Towards cognitive cities-advances in cognitive computing and its application to the governance of large urban systems. Springer, International Publishing Switzerland, pp 123–144
Wilbik A, Keller J (2013) A fuzzy measure similarity between sets of linguistic summaries. IEEE Trans Fuzzy Syst 21:183–189
Wilbik A, Keller J, Alexander G (2011) Linguistic summarization of sensor data for eldercare. In: 2011 IEEE international conference on systems, man, and cybernetics. Anchorage, pp 2595–2599
Wu D, Mendel J, Joo J (2010) Linguistic summarization using if-then rules. In: 2010 IEEE international conference on fuzzy systems. Barcelona, pp 1–8
Yager R (1982) A new approach to the summarization of data. Inf Sci 28:69–86
Yager R, Ford M, Canas A (1990) An approach to the linguistic summarization of data. In: 3rd International conference of information processing and management of uncertainty in knowledge-based systems (IPMU 1990). Paris, pp 456–468
Zadeh L (1996) Fuzzy logic = computing with words. IEEE Trans Fuzzy Syst 4:103–111
Zadeh L (2012) Computing with words-principal concepts and ideas. Springer, Berlin Heidelberg
Zimmermann H (2001) Fuzzy set theory-and its applications. Kluwer Academic Publishers, Dordrecht
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Hudec, M. (2019). Possibilities for Linguistic Summaries in Cognitive Cities. In: Portmann, E., Tabacchi, M., Seising, R., Habenstein, A. (eds) Designing Cognitive Cities. Studies in Systems, Decision and Control, vol 176. Springer, Cham. https://doi.org/10.1007/978-3-030-00317-3_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-00317-3_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00316-6
Online ISBN: 978-3-030-00317-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)