Multicriteria Partitioning Problems
نویسنده
چکیده
In this paper we study the possibility of generalizing a monocriteria model to a multicriteria partition problem and show the reason why exact algorithms are not efficient in solving the problem. The mathematical model studied is a modified version of a mono-objective model from Mehrotra [1] and applied to the biobjetive case using the ε-constraint method. Research conducted concludes that the studied multicriteria model is not suitable to solve the problem due not only to the high computational requirements needed to run the model, as well as the difficulty of ensuring the fundamental constraints of integrality, contiguity and ―absence of holes'''. Kruskal's algorithm applied to multicriteria partitioning problem [2] shows satisfactory results, managing to secure the general constraints of contiguity and integrality without requiring a high computational effort, with very low execution times compared with the exact method.
منابع مشابه
A Model for Spatial Multicriteria Hierarchical Clustering CoDE-SMG – Technical Report Series
Research on the problem of multicriteria territory partitioning is at its begin. This is mainly due to the fact that it involves tools from fields that are to this day still young. To answer this shortage, we propose an adaptation of a multicriteria clustering method that takes spatial constraints into account. Two variants are described and tested on an illustrative case. This example deals wi...
متن کاملTowards combinatorial clustering: preliminary research survey
The paper describes clustering problems from the combinatorial viewpoint. A brief systemic survey is presented including the following: (i) basic clustering problems (e.g., classification, clustering, sorting, clustering with an order over cluster), (ii) basic approaches to assessment of objects and object proximities (i.e., scales, comparison, aggregation issues), (iii) basic approaches to eva...
متن کاملGeneralized interval-valued intuitionistic fuzzy Hamacher generalized Shapley Choquet integral operators for multicriteria decision making
The interval-valued intuitionistic fuzzy set (IVIFS) which is an extension of the Atanassov’s intuitionistic fuzzy set is a powerful tool for modeling real life decision making problems. In this paper, we propose the emph{generalized interval-valued intuitionistic fuzzy Hamacher generalized Shapley Choquet integral} (GIVIFHGSCI) and the emph{interval-valued intuitionistic fuzzy Hamacher general...
متن کاملGeneralized Multicriteria Location Problems
This work concerns a special class of multicriteria optimization problems, obtained from a given single-facility multicriteria planar location problem by adding several new cost functions. By means of a decomposition approach, based on the concept of Pareto reducibility, we have developed together with S. Alzorba and Chr. Günther an implementable algorithm for generating efficient solutions of ...
متن کاملA taxonomy of clustering procedures
In the field of multicriteria decision aid, considerable attention has been paid to supervised classification problems, especially to so-called sorting problems, where an order is assumed on the predefined classes. Recently, some non-supervised multicriteria classification procedures, also known as multicriteria clustering procedures, have been proposed aiming to discover data structures from a...
متن کامل