Decision support for prioritizing energy technologies against high oil prices: A fuzzy analytic hierarchy process approach

2009 ◽  
Vol 22 (6) ◽  
pp. 915-920 ◽  
Author(s):  
Seong Kon Lee ◽  
Gento Mogi ◽  
Jong Wook Kim
Keyword(s):  
Decision Support ◽  
Analytic Hierarchy Process ◽  
Oil Prices ◽  
Process Approach ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Energy Technologies ◽  
Hierarchy Process

scholarly journals Group-based Decision Support for Flood Hazard Forecasting: A Geospatial Technology-based Group Analytic Hierarchy Process Approach

2014 ◽  
Vol 7 (23) ◽  
pp. 4838-4850 ◽  
Author(s):  
Dano Umar Lawal ◽  
Abdul-Nasir Matori ◽  
Khamaruzaman Wan Yusof ◽  
Ahmad Mustafa Hashim ◽  
Mansir Aminu ◽  
...  
Keyword(s):  
Decision Support ◽  
Analytic Hierarchy Process ◽  
Flood Hazard ◽  
Process Approach ◽  
Analytic Hierarchy ◽  
Geospatial Technology ◽  
Hierarchy Process

scholarly journals Decision support system for selecting tourist attractions using fuzzy analytic hierarchy process

2021 ◽  
Vol 10 (3) ◽  
pp. 1252-1261
Author(s):  
Christa Bire ◽  
Daniel Kasse ◽  
Rio Bire
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Analytic Hierarchy Process ◽  
Fuzzy Analytic Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Tourist Attractions ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

The selection of tourist attractions is a multi-criteria decision making problem, which requires time and careful consideration to make the right decision. The proper destination selection based on human needs in a particular moment affects satisfaction in traveling. This research aims to create a decision support system for selecting tourist attractions (a case study in Kupang City) using fuzzy analytic hierarchy process method. Users can input the priority scale of 9 human need attributes and then be directed to the system’s recommendations of tourist attractions. This paper also compares fuzzy analytic hierarchy process method with the original analytic hierarchy process calculations. The result shows that both methods can be a solution for multi-criteria decision making, but the fuzzy analytic hierarchy process method performs a more optimal solution for cases with uncertainty in comparisons between elements.

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