AN INTELLIGENT DECISION SUPPORT BASED ON A SUBTRACTIVE CLUSTERING AND FUZZY INFERENCE SYSTEM FOR MULTIOBJECTIVE OPTIMIZATION PROBLEM IN SERIOUS GAME

2011 ◽  
Vol 10 (05) ◽  
pp. 793-810 ◽  
Author(s):  
I. G. P. ASTO BUDITJAHJANTO ◽  
HAJIME MIYAUCHI
Keyword(s):  
Decision Support ◽  
Multiobjective Optimization ◽  
Optimization Problem ◽  
Fuzzy Inference ◽  
Subtractive Clustering ◽  
Multiobjective Optimization Problem ◽  
Optimal Solutions ◽  
Inference System ◽  
Intelligent Decision ◽  
Intelligent Decision Support

Learning decision making through playing a game is an interesting activity for the decision maker or player. In this paper, a multiobjective optimization problem for economic and emission dispatch in which the player can learn about the tradeoff between fuel cost (economic) and emission problems to achieve optimal decisions is considered. A nonplayer character (NPC) is an entity that is built to provide intelligent decision support for the player. The proposed approach is carried out in two stages for the NPC module: the first stage uses the nondominated sorting genetic algorithm II method to solve the multiobjective optimization problem; this stage produces some optimal solutions. The next stage uses subtractive clustering to cluster optimal solutions; furthermore, these clusters are used to build a fuzzy inference system based on the Mamdani type. In this stage, players can select the best decision offered by the NPC.

scholarly journals Intelligent Decision Support System for Home Automation - ANFIS Based Approach

2018 ◽  
Vol 7 (2.24) ◽  
pp. 421
Author(s):  
Reena K ◽  
Veeramuth Venkatesh
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Fuzzy Inference ◽  
Home Automation ◽  
Simple Method ◽  
Inference System ◽  
Intelligent Decision Support System ◽  
Neuro Fuzzy ◽  
Intelligent Decision Support

Internet of Things (IoT) deals with the idea of remotely multiplexing and monitoring real-world things via Internet. This idea can be incorporated at home appliances to make it smarter, safer and automated. This design focuses on constructing a smart, wireless home security system that gives alerts to the respective user through the Internet. This paper gives a smart decision support system to various home automation services using fuzzy logic. The proposed system is built on Adaptive Neuro-Fuzzy Inference System (ANFIS). It’s a kind of artificial neural network that is used here for deciding on the changes taking place in the sensing unit. Through this simple method, various parameters such as temperature level, light intensity and human presenc eare monitored and controlled. 

scholarly journals Multiobjective Optimization, Scalarization, and Maximal Elements of Preorders

2018 ◽  
Vol 2018 ◽  
pp. 1-6
Author(s):  
Paolo Bevilacqua ◽  
Gianni Bosi ◽  
Magalì Zuanon
Keyword(s):  
Multiobjective Optimization ◽  
Optimization Problem ◽  
Design Space ◽  
Pareto Optimal ◽  
Multiobjective Optimization Problem ◽  
Pareto Optimal Solutions ◽  
Optimal Solutions ◽  
Maximal Elements ◽  
Compact Design

We characterize the existence of (weak) Pareto optimal solutions to the classical multiobjective optimization problem by referring to the naturally associated preorders and their finite (Richter-Peleg) multiutility representation. The case of a compact design space is appropriately considered by using results concerning the existence of maximal elements of preorders. The possibility of reformulating the multiobjective optimization problem for determining the weak Pareto optimal solutions by means of a scalarization procedure is finally characterized.

scholarly journals Multiobjective Optimization Scheduling Problems by Pareto-optimality in Agro-alimentaryWorkshop

2006 ◽  
Vol 1 (3) ◽  
pp. 71 ◽  
Author(s):  
Fatma Tangour ◽  
Ihsen Saad
Keyword(s):  
Multiobjective Optimization ◽  
Optimization Problem ◽  
Search Space ◽  
Multiobjective Optimization Problem ◽  
Optimal Solutions ◽  
Scheduling Problems ◽  
Objective Functions ◽  
Good Decision ◽  
Initial Cost ◽  
The Cost

This paper deals with the multiobjective optimization problem of an agroalimentary production workshop. Three criteria are considered in addition to this initial cost of production: the cost of the out-of-date products, the cost of the distribution discount and the makespan, and a new coding is proposed for this type of workshop. The adopted approach consists in generating optimal solutions diversified in the search space of solutions, and to help the decision maker when it cannot give a particular preference to one of the objective functions to make the good decision with respect to the quoted criteria.

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