Preference Thresholds Optimization by Interactive Variation
نویسندگان
چکیده
In order to customize the display of meteorological data for different users, we use clustering to group similar users. We compute a rate of similarity between the current user and all others in the same cluster. We use this rate for weighting users’ preferences and then compute an average to be compared with a threshold to decide to display this parameter or not. The optimization of this threshold is also discussed.
منابع مشابه
Interactive multiple objective programming in optimization of the fully fuzzy quadratic programming problems
In this paper, a quadratic programming (FFQP) problem is considered in which all of the cost coefficients, constraints coefficients, and right hand side of the constraints are characterized by L-R fuzzy numbers. Through this paper, the concept of α- level of fuzzy numbers for the objective function, and the order relations on the fuzzy numbers for the constraints are considered. To optimize th...
متن کاملInteractive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two conflicting objectives (i.e., accuracy maximization and complexity minimization) when we design accurate and compact fuzzy rule-based systems from numerical data. Since the main advantage of fuzzy rule-based systems co...
متن کاملUsing Assignment Examples to Infer Category Limits for the Electre Tri Method
Given a finite set of alternatives, the sorting (or assignment) problem consists in the assignment of each alternative to one of the pre-defined categories. In this paper, we are interested in multiple criteria sorting problems and, more precisely, in the existing method ELECTRE TRI. This method requires the elicitation of preferential parameters (importance coefficients, thresholds, profiles,....
متن کاملIntroduction to Multiobjective Optimization: Interactive Approaches
We give an overview of interactive methods developed for solving nonlinear multiobjective optimization problems. In interactive methods, a decision maker plays an important part and the idea is to support her/him in the search for the most preferred solution. In interactive methods, steps of an iterative solution algorithm are repeated and the decision maker progressively provides preference in...
متن کاملPsychological Preference-based Optimization Framework with Interactive Genetic Algorithms on the Nurse Scheduling Problem
One of the challenges of the nurse scheduling problems (NSPs) is the great number of constraints, and another challenge is that psychological preference of chief nurse is usually difficult to clearly define. Typically, solutions to conquer the first challenge rely on operational research (OR) methods, and the objective functions are constructed manually to conquer the second challenge. However,...
متن کامل