JACIII Vol.18 No.2 pp. 190-196
doi: 10.20965/jaciii.2014.p0190


Flexible Route Planning for Sightseeing with Fuzzy Random and Fatigue-Dependent Satisfactions

Takashi Hasuike*1, Hideki Katagiri*2, Hiroe Tsubaki*3,
and Hiroshi Tsuda*4

*1Graduate School of Information Science and Technology, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan

*2Graduate School of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8527, Japan

*3Department of Data Science, The Institute of Statistical Mathematics, 10-3 Midorimachi, Tachikawa, Tokyo 190-8562, Japan

*4Faculty of Science and Engineering, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0321, Japan

October 11, 2013
January 13, 2014
March 20, 2014
route planning for sightseeing, flexibility, fuzzy random and fatigue-dependent satisfactions, mathematical modelling

This paper proposes a flexible route planning problem for sightseeing with fuzzy random variables for travel times and satisfaction with activities under general sightseeing constraints. Travel time between sightseeing sites and satisfactions with activities depend on weather and climate conditions, and on traveler fatigue, so both fuzzy random variables for travel times and satisfactions and traveler fatigue-dependence are introduced. Tourists are likely to plan favored without drastically changing from the optimal route under usual conditions such as fine weather that suddenly changes for the worse. A route planning problem is proposed to obtain a favorite route similar to the optimal route under usual conditions. Trapezoidal fuzzy numbers and order relations are introduced as a basic case of fuzzy numbers. From order relations, the proposed model is transformed into an extended model of network optimization problems. A numerical example is used to compare the proposed model to standard route planning problems in sightseeing.

Cite this article as:
T. Hasuike, H. Katagiri, H. Tsubaki, and <. Tsuda, “Flexible Route Planning for Sightseeing with Fuzzy Random and Fatigue-Dependent Satisfactions,” J. Adv. Comput. Intell. Intell. Inform., Vol.18, No.2, pp. 190-196, 2014.
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