Applying the fuzzy analytical hierarchy process in cognitive cities

This paper introduces a mobile application (app) as the first part of an interactive framework. The framework enhances the interaction between cities and their citizens, introducing the Fuzzy Analytical Hierarchy Process (FAHP) as a potential information acquisition method to improve existing citizen management endeavors for cognitive cities. Citizen management is enhanced by advanced visualization using Fuzzy Cognitive Maps (FCM). The presented app takes fuzziness into account in the constant interaction and continuous development of communication between cities or between certain of their entities (e.g., the tax authority) and their citizens. A transportation use case is implemented for didactical reasons.

[1]  Erik Perjons,et al.  A Design Science Primer , 2012 .

[2]  T. Y. Lin,et al.  GRANULAR COMPUTING: From Rough Sets and Neighborhood Systems to Information Granulation and Computing with Words , 1997 .

[3]  Thomas L. Saaty,et al.  DECISION MAKING WITH THE ANALYTIC HIERARCHY PROCESS , 2008 .

[4]  M. Kaufmann,et al.  A concept of semantics extraction from web data by induction of fuzzy ontologies , 2013, IEEE International Conference on Electro-Information Technology , EIT 2013.

[5]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[6]  Lotfi A. Zadeh,et al.  Some reflections on soft computing, granular computing and their roles in the conception, design and utilization of information/intelligent systems , 1998, Soft Comput..

[7]  Matthias Finger.  A critical analysis of the potential of the ICTs for democracy and governance , 2011 .

[8]  Thomas B. Riley.  Electronic Governance , 2001 .

[9]  Potential Applications of Granular Computing in Knowledge Discovery and Data Mining , 1999 .

[10]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[11]  R. Hollands.  Will the real smart city please stand up? , 2008, The Routledge Companion to Smart Cities.

[12]  Guoyin Wang,et al.  Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing , 2013, Lecture Notes in Computer Science.

[13]  Tomasz Janowski,et al.  Organizing and Managing Knowledge for e-Government - Issues, Practices and Challenges , 2009, KMIS.

[14]  P. Nijkamp,et al.  Smart Cities in Europe , 2011 .

[15]  Yiyu Yao,et al.  Granular Computing: basic issues and possible solutions , 2007 .

[16]  Lotfi A. Zadeh,et al.  Fuzzy sets and information granularity , 1996 .

[17]  Lotfi A. Zadeh,et al.  Fuzzy Logic , 2009, Encyclopedia of Complexity and Systems Science.

[18]  Yiyu Yao,et al.  Granular Computing , 2008 .

[19]  Kamal M. Al‐Subhi Al‐Harbi,et al.  Application of the AHP in project management , 2001 .

[20]  Edy Portmann,et al.  The Web KnowARR Framework: Orchestrating Computational Intelligence with Graph Databases , 2015 .

[21]  Edy Portmann,et al.  A distributed, semiotic-inductive, and human-oriented approach to web-scale knowledge retrieval , 2012, Web-KR '12.

[22]  Dustin A. Tusnovics,et al.  Cognitive Cities : interdisciplinary approach reconsidering the process of ( re ) inventing urban habitat , 2007 .

[23]  Yiyu Yao,et al.  Perspectives of granular computing , 2005, 2005 IEEE International Conference on Granular Computing.

[24]  Sushil Kumar,et al.  Analytic hierarchy process: An overview of applications , 2006, Eur. J. Oper. Res..

[25]  E. JeffreyGoldstein,et al.  Emergence as a Construct : History and Issues , 2000 .