scholarly journals A fuzzy logic decision support model for climate-driven biomass loss risk in western Oregon and Washington

PLoS ONE ◽  
2019 ◽  
Vol 14 (10) ◽  
pp. e0222051
Author(s):  
T. Sheehan ◽  
D. Bachelet
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Decision Support Model ◽  
Biomass Loss ◽  
Support Model

scholarly journals Fuzzy-DSM for Determining Public Transporter based on Geographical Condition

2020 ◽  
Vol 9 (5) ◽  
pp. 1673-1676
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Road Traffic ◽  
Rule Base ◽  
Decision Support Model ◽  
Traffic Condition ◽  
Main Method ◽  
Support Model

Numerous types of public transporter in one region (in Indonesia) should be examined. The paper presents a decision support model (DSM) for examine the properness of public transporter implemented in one region (district) in Indonesia. Main method operated technically in this study is fuzzy logic with rule base as an engine core. Three types of public transporter examined are ojek, metromini, and angkot; respectively, in Indonesia they are public motorcycle, public mini bus, and public family vehicle. Four geographical parameters considered in the model are road traffic condition, traffic road length, rainfall, and congestion point. The model was finally able to recommend the most proper public transporter implemented in seven districts.

scholarly journals The Knowledge Exchange–Decision Support Model: application to cancer navigation programs

2013 ◽  
Vol 22 (2) ◽  
pp. 367-374 ◽  
Author(s):  
A. Fuchsia Howard ◽  
Kirsten Smillie ◽  
Vivian Chan ◽  
Sandra Cook ◽  
Arminee Kazanjian
Keyword(s):  
Decision Support ◽  
Knowledge Exchange ◽  
Decision Support Model ◽  
Model Application ◽  
Support Model
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