Interactive Approaches to Multi-objective Feature Selection

Özmen, Müberra
Karakaya, Gülşah
Köksalan, Mustafa Murat


Interactive evolutionary approaches to multi-objective feature selection
Özmen, Müberra; Köksalan, Murat; Karakaya, Gülşah; Department of Industrial Engineering (2016)
In feature selection problems, the aim is to select a subset of features to characterize an output of interest. In characterizing an output, we may want to consider multiple objectives such as maximizing classification performance, minimizing number of selected features or cost, etc. We develop a preference-based approach for multi-objective feature selection problems. Finding all Pareto optimal subsets may turn out to be a computationally demanding problem and we still would need to select a solution event...
Interactive approaches for biobjective problems with progressively changing solution sets
Karakaya, Gülşah (Wiley, 2021-01-01)
In this study, we develop interactive approaches to find a satisfactory alternative of a decision maker (DM) having a quasiconvex preference function where the alternative set changes progressively. In this environment, we keep searching the available set of alternatives and estimating the preference function of the DM. As new alternatives emerge, we make better use of the available preference information and eventually converge to a preferred alternative of the DM. We test our approaches on biobjective, mu...
Interactive approaches for multiobjective decision making.
Beşeli, Çağla; Department of Electrical Engineering (1986)
Interactive algorithms for a broad underlying family of preference functions
Karakaya, Gülşah; AHİPAŞAOĞLU, Selin Damla (Elsevier BV, 2018-02-16)
In multi-criteria decision making approaches it is typical to consider an underlying preference function that is assumed to represent the decision maker's preferences. In this paper we introduce a broad family of preference functions that can represent a wide variety of preference structures. We develop the necessary theory and interactive algorithms for both the general family of the preference functions and for its special cases. The algorithms guarantee to find the most preferred solution (point) of the ...
Interactive algorithms for a wide variety of preference functions
Karakaya, Gülşah; Ahipaşaoğlu, Selin Damla (2016-11-16)
The advances in the technological infrastructure and in the Internet led electronic auctions to become popular. With online sites, people buy/sell inexpensive products/services through auctions. In this paper, we develop an interactive approach that provides aid to both the buyer and the bidders in a bi-attribute, multi-item auction environment. Our approach is applicable for both reverse and forward auctions. We test our approach for underlying linear preference functions of the buyer. We also adapt it as ...
Citation Formats
M. Özmen, G. Karakaya, and M. M. Köksalan, “Interactive Approaches to Multi-objective Feature Selection,” 2017, Accessed: 00, 2021. [Online]. Available: