Multiple-criteria decision-making sorting methods: A survey
Abstract Multi-Criteria Decision Making (MCDM) is a complex process. It aims to support
decision makers in making their decisions more effective and consistent. MCDM provides a …
decision makers in making their decisions more effective and consistent. MCDM provides a …
Multi-criteria classification, sorting, and clustering: A bibliometric review and research agenda
Multi-criteria decision analysis (MCDA) has been increasingly adopted to solve decision-
making problems involving multiple options and multiple criteria. These methods have been …
making problems involving multiple options and multiple criteria. These methods have been …
Multiple criteria sorting models and methods—Part I: survey of the literature
Multiple criteria sorting methods assign objects into ordered categories while objects are
characterized by a vector of n attributes values. Categories are ordered, and the assignment …
characterized by a vector of n attributes values. Categories are ordered, and the assignment …
Knapsack problems with dependencies through non-additive measures and Choquet integral
G Beliakov - European Journal of Operational Research, 2022 - Elsevier
In portfolio selection problems the items often depend on each other, and their synergies
and redundancies need to be taken into account. We consider the knapsack problem in …
and redundancies need to be taken into account. We consider the knapsack problem in …
An incremental preference elicitation-based approach to learning potentially non-monotonic preferences in multi-criteria sorting
Leveraging assignment example preference information, to determine the shape of marginal
utility functions and category thresholds of the threshold-based multi-criteria sorting (MCS) …
utility functions and category thresholds of the threshold-based multi-criteria sorting (MCS) …
A family of fuzzy multi-criteria sorting models FTOPSIS-Sort: Features, case study analysis, and the statistics of distinctions
B Yatsalo, A Radaev, E Haktanir… - Expert Systems with …, 2024 - Elsevier
A family of fuzzy multi-criteria sorting models, FTOPSIS-Sort, as a fuzzy extension of Multi-
Criteria Decision Analysis (MCDA) ordinary method TOPSIS, is introduced and analyzed …
Criteria Decision Analysis (MCDA) ordinary method TOPSIS, is introduced and analyzed …
An interactive regret-based genetic algorithm for solving multi-objective combinatorial optimization problems
We propose a new approach consisting in combining genetic algorithms and regret-based
incremental preference elicitation for solving multi-objective combinatorial optimization …
incremental preference elicitation for solving multi-objective combinatorial optimization …
[HTML][HTML] Robust stochastic sorting with interacting criteria hierarchically structured
In this paper we propose a multiple criteria decision aiding method to deal with sorting
problems in which alternatives are evaluated on criteria structured in a hierarchical way and …
problems in which alternatives are evaluated on criteria structured in a hierarchical way and …
Learning sparse representations of preferences within Choquet expected utility theory
M Herin, P Perny, N Sokolovska - Uncertainty in Artificial …, 2022 - proceedings.mlr.press
This paper deals with preference elicitation within Choquet Expected Utility (CEU) theory for
decision making under uncertainty. We consider the Savage's framework with a finite set of …
decision making under uncertainty. We consider the Savage's framework with a finite set of …
SMAA-Choquet-FlowSort: A novel user-preference-driven Choquet classifier applied to supplier evaluation
R Pelissari, LT Duarte - Expert Systems with Applications, 2022 - Elsevier
The Choquet integral has been used as an aggregation operator to deal with interacting
criteria in different types of problems. For ordinal classification problems, the majority of …
criteria in different types of problems. For ordinal classification problems, the majority of …