Exponential utility function based criteria for network selection in heterogeneous wireless networks

2018 ◽  
Vol 54 (8) ◽  
pp. 529-531 ◽  
Author(s):  
Shoaib Khan ◽  
Mian Ilyas Ahmad ◽  
Farhan Hussain
Keyword(s):  
Wireless Networks ◽  
Utility Function ◽  
Heterogeneous Wireless Networks ◽  
Exponential Utility ◽  
Network Selection ◽  
Exponential Utility Function

Liquidity Preference and Risk Aversion with an Exponential Utility Function

1972 ◽  
Vol 39 (1) ◽  
pp. 113 ◽  
Author(s):  
Errol Glustoff ◽  
Nic Nigro
Keyword(s):  
Risk Aversion ◽  
Utility Function ◽  
Exponential Utility ◽  
Exponential Utility Function

A utility-based fuzzy TOPSIS method for energy efficient network selection in heterogeneous wireless networks

2012 ◽  
Vol 12 (7) ◽  
pp. 1929-1938 ◽  
Author(s):  
Ioannis Chamodrakas ◽  
Drakoulis Martakos
Keyword(s):  
Wireless Networks ◽  
Energy Efficient ◽  
Heterogeneous Wireless Networks ◽  
Fuzzy Topsis ◽  
Network Selection ◽  
Topsis Method

scholarly journals Good Approximation of Exponential Utility Function for Optimal Futures Hedging

2016 ◽  
Vol 06 (03) ◽  
pp. 457-463 ◽  
Author(s):  
Xu Guo ◽  
Donald Lien ◽  
Wing-Keung Wong
Keyword(s):  
Utility Function ◽  
Exponential Utility ◽  
Futures Hedging ◽  
Exponential Utility Function

Information in Fleeting Opportunities

2013 ◽  
pp. 110-153
Author(s):  
Ibrahim Almojel ◽  
Jim Matheson ◽  
Pelin Canbolat
Keyword(s):  
Utility Function ◽  
Decision Maker ◽  
Optimal Policy ◽  
Value Of Information ◽  
Risk Preference ◽  
Dynamic Program ◽  
Exponential Utility ◽  
Venture Capitalists ◽  
Exponential Utility Function ◽  
Over Time

This paper focuses on the study of information in fleeting opportunities. An application example is the evaluation of business proposals by venture capitalists. The authors formulate the generic problem as a dynamic program where the decision maker can either accept a given deal directly, reject it directly, or seek further information on its potential and then decide whether to accept it or not. Results show well behaved characteristics of the optimal policy, deal flow value, and the value of information over time and capacity. It is presumed that the risk preference of the decision maker follows a linear or an exponential utility function. This approach is illustrated through several examples.

The utility based non-linear fuzzy AHP optimization model for network selection in heterogeneous wireless networks

2018 ◽  
Vol 67 ◽  
pp. 800-811 ◽  
Author(s):  
Raman Kumar Goyal ◽  
Sakshi Kaushal ◽  
Arun Kumar Sangaiah
Keyword(s):  
Wireless Networks ◽  
Optimization Model ◽  
Fuzzy Ahp ◽  
Heterogeneous Wireless Networks ◽  
Network Selection ◽  
Non Linear
Sign in / Sign up

Export Citation Format

Share Document