|
Abstract
|
Article Information:
Most Satisfactory Camping: Multi-objective Optimization Based on Composite Index
Yuanxin Lin, Yuanbiao Zhang and Yujie Liu
Corresponding Author: Yuanxin Lin
Submitted: October 30, 2012
Accepted: December 17, 2012
Published: May 01, 2013 |
Abstract:
|
Given the rise in popularity of river rafting, we need to schedule an optimal mix of trips of varying duration and propulsion to meet the needs of travelers and improve the company’s interests. To provide a wilderness experience for travelers, we should try to reduce the contacts during the traveling. We firstly analyze the traveling process. And one contact (on-river) is counted. We apply step-to-step method to this study. We firstly study this relationship when there is only one kind of travel days. Then we add another kind of travel days to draw the universal rule and finally we derive the relationship when there are many kinds of trips. In order to combine the contacts and company’s interests, we define two satisfaction degree functions by using fuzzy logic. We define a satisfaction degree function to describe the contacts. Then we define another function to describe the company’s interests. Lastly, we define a composite index to combine the two functions by giving them different weight. We base this model on maximizing this composite index and obtain the optimal schedule. When determining the carrying capacity of the river, we take contacts, company’s interests and river’s resources into account. In the same way, we define a satisfaction degree function for river’s resources. We finally define a composite index to combine the three factors by giving them different weights. We base this model on maximizing this composite index and derive the river’s carrying capacity.
Key words: Carrying capacity, composite index, contacts, step-to-step method, satisfaction degree, ,
|
|
Abstract
|
PDF
|
HTML |
|
Cite this Reference:
Yuanxin Lin, Yuanbiao Zhang and Yujie Liu, . Most Satisfactory Camping: Multi-objective Optimization Based on Composite Index. Research Journal of Applied Sciences, Engineering and Technology, (17): 4399-4405.
|
|
|
|
 |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
 |
| Information |
|
|
|
|
| Sales & Services |
|
|
|
|
