TY - GEN
T1 - Versatile route planning for sightseeing with tourist's satisfaction dependent on fatigue degree
AU - Hasuike, Takashi
AU - Tsubaki, Hiroe
AU - Katagiri, Hideki
AU - Tsuda, Hiroshi
PY - 2012/12/1
Y1 - 2012/12/1
N2 - This paper proposes a versatile route planning problem for sightseeing with fuzzy random variables based on constraints of required traveling times and total satisfaction of sightseeing activities. In general, traveling times among sightseeing places and the satisfactions of activities depend on weather and climate conditions. Furthermore, the satisfactions of activities are also dependent on the tourist's fatigue degree. Therefore, the fuzzy random variables for traveling times and satisfactions of activities dependent on the fatigue degree under uncertainty are introduced. Tourists will like to do their favorable route planning without drastically changing the tour route of usual condition such as fine even if the weather condition changes for the worse. A new route planning problem is proposed to obtain the favorable route similar to the optimal route under the usual condition. As a basic case of fuzzy numbers, interval values and the order relation are introduced. From the order relation, the proposed model is transformed into an extended model of network optimization problems. A numerical example is provided to compare the proposed model with standard route planning problems for sightseeing.
AB - This paper proposes a versatile route planning problem for sightseeing with fuzzy random variables based on constraints of required traveling times and total satisfaction of sightseeing activities. In general, traveling times among sightseeing places and the satisfactions of activities depend on weather and climate conditions. Furthermore, the satisfactions of activities are also dependent on the tourist's fatigue degree. Therefore, the fuzzy random variables for traveling times and satisfactions of activities dependent on the fatigue degree under uncertainty are introduced. Tourists will like to do their favorable route planning without drastically changing the tour route of usual condition such as fine even if the weather condition changes for the worse. A new route planning problem is proposed to obtain the favorable route similar to the optimal route under the usual condition. As a basic case of fuzzy numbers, interval values and the order relation are introduced. From the order relation, the proposed model is transformed into an extended model of network optimization problems. A numerical example is provided to compare the proposed model with standard route planning problems for sightseeing.
KW - Fuzzy random variable
KW - Route planning for sightseeing
KW - Uncertainty
KW - Versatility
UR - http://www.scopus.com/inward/record.url?scp=84877825749&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84877825749&partnerID=8YFLogxK
U2 - 10.1109/SCIS-ISIS.2012.6505233
DO - 10.1109/SCIS-ISIS.2012.6505233
M3 - Conference contribution
AN - SCOPUS:84877825749
SN - 9781467327428
T3 - 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
SP - 146
EP - 151
BT - 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
T2 - 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012
Y2 - 20 November 2012 through 24 November 2012
ER -