Contracting preference relations for database applications

D Mindolin, J Chomicki - Artificial Intelligence, 2011 - Elsevier
… We consider preference relations that are … algorithms for computing minimal and
preference-protecting minimal contractions for finite as well as finitely representable preference

New decision-making methods with interval reciprocal preference relations: A new admissible order relation of intervals

X Cheng, S Wan, J Dong, L Martínez - Information Sciences, 2021 - Elsevier
… An interactive convergent iterative algorithm is then designed to improve the group consensus
degree. Eventually, we present an individual decision-making (IDM) method and a new …

[PDF][PDF] Preference queries in relational databases

J Chomicki - ACM Transactions on Database Systems. to appear, 2002 - cse.buffalo.edu
… the winnow operator and its interaction with other relational algebra operators. The … algorithm
compares a tuple with itself. The BNL and SFS algorithms require the preference relation

Interactive problem solving via algorithm visualization

P Pu, D Lalanne - IEEE Symposium on Information …, 2000 - ieeexplore.ieee.org
… [8], designing and analyzing concurrent algorithms [13], and software engineering. We use
algorithm visualization not only to show the workings of the algorithms, but also to externalize …

ELECCALC—an interactive software for modelling the decision maker's preferences

LN Kiss, JM Martel, R Nadeau - Decision Support Systems, 1994 - Elsevier
… an interactive algorithm designed to model the preferences … components of the ELECCALC
algorithm grouped into four phases… In Section 3, we look at how the algorithm has been made …

Algorithms for estimating missing elements of incomplete intuitionistic preference relations

Z Xu, X Cai, E Szmidt - International Journal of Intelligent …, 2011 - Wiley Online Library
… intuitionistic preference relation and develop two estimation algorithms. The first algorithm is
used … similarity measure to develop an interactive procedure for group consensus analysis. …

[PDF][PDF] Handling concept drift in preference learning for interactive decision making

P Campigotto, A Passerini, R Battiti - HaCDAIS 2010, 2010 - researchgate.net
… 2 and 3 report the results for the plain BC-EMO algorithm, for a baseline algorithm and for
our BC-EMO extension, respectively, over the considered case study. The performance of the …

Learning value functions in interactive evolutionary multiobjective optimization

J Branke, S Greco, R Słowiński… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
… Abstract—This paper proposes an interactive Multi-Objective Evolutionary Algorithm (MOEA) …
We consider a weak preference relation ≿ on X which means, for each pair of vectors, x, y 2 …

Interactive Approach to Eliciting Users' Preference Using Comparisons

J Zhang, W Han, Y Jia, P Zou - 2012 Fourth International …, 2012 - ieeexplore.ieee.org
… We show the running time and interactive count of our algorithminteractive count has a
high relationship with the sampling accuracy, and the data size has little effect on the interactive

A preference-based evolutionary algorithm for multi-objective optimization

L Thiele, K Miettinen, PJ Korhonen… - Evolutionary …, 2009 - ieeexplore.ieee.org
… We introduce our preference based interactive algorithm in Section 4 and demonstrate how
it works with a few examples in Section 5. Finally, we draw some conclusions in Section 6. …