Applying the fuzzy analytical hierarchy process in cognitive cities

Abstract

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.

Digital Personal Assistant for Cognitive Cities: A Paper Prototype

“…The smartness of a smart city manifests itself in the smartness of its economy, people, governance, mobility, environment and living [11]. Kaltenrieder et al [15,17] perceive smart cities as based on technology developed to constantly enhance their interaction with citizens by improving cooperation between humans and machines.…”

“…A cognitive system is able to take advantage of the past to learn (i.e., by machine learning) and such a system recognizes and adapts to changes [30]. The concept of cognitive cities, as defined by Kaltenrieder et al [15,17], utilizes connectivism [42] to enhance smart cities. Connectivism is a type of cognition theory based on the fact that knowledge bases increase steadily.…”

“…This list is not comprehensive as other stakeholders may appear in the future. An initial list of the stakeholders affected by the meta-app was generated by Kaltenrieder et al [17]. This list was refined as the meta-app was developed further, and an initial prototype was sketched [16].…”

“…By facilitating commuting, this meta-app can thus help people optimize their time scheduling and thus lead to a better work-life balance. The architecture of the meta-app was developed by Kaltenrieder et al [17]. Focusing on the fuzzy analytical hierarchy process, the theoretical decision making logic of the meta-app was developed by Kaltenrieder et al [15].…”

“…The example, presented as a use case, was based on various examples found in the literature [15][16][17].…”