Results 331 to 340 of about 7,044,349 (389)

RETRACTED: An effective correlation-based compromise approach for multiple criteria decision analysis with Pythagorean fuzzy information

Journal of Intelligent & Fuzzy Systems, 2018
. The aim of this paper is to develop a novel correlation-based compromise approach for addressing multiple criteria decision analysis problems under complex uncertainty based on Pythagorean fuzzy sets.
Ting-Yu Chen
semanticscholar   +1 more source

A Framework for Creating Automated Online Adaptive Tests Using Multiple-Criteria Decision Analysis

IEEE International Conference on Systems, Man and Cybernetics, 2018
Towards the last decade, digital education has become a burning issue in the related scientific literature and involves the production of Intelligent Tutoring Systems (ITSs).
K. Chrysafiadi, C. Troussas, M. Virvou
semanticscholar   +1 more source

Rough-Set Multiple-Criteria ABC Analysis

2006
Multiple-criteria ABC (MCABC) analysis is conducted using a dominance-based rough set approach. ABC analysis, a well-known technique for inventory planning and control, divides stock-keeping units (SKUs) into three classes according to annual dollar usage.
Ye Chen, Kevin W. Li, Jason Levy, Keith W. Hipel, D. Marc Kilgour   +4 more
openaire   +1 more source

Intrablock Analysis of Designs With Multiple Blocking Criteria

Journal of the American Statistical Association, 1991
Abstract A multidimensional block design (MBD) is an amalgamation of d > 1 component block designs. It may be represented as a d-dimensional lattice with nodes, where b (s) is the number of blocks in the sth component block design. The (j 1, …, jd )-node of the lattice may have h(i, j 1, …, jd ) ≥ 0 experimental units assigned to treatment i, i = 1, …,
Ralph A. Bradley, Frances P. Stewart
openaire   +1 more source

Multiple Criteria Decision Analysis

2001
The field of multiple criteria decision analysis (MCDA) - also sometimes termed multiple criteria decision aid, or multiple criteria decision making (MCDM) - has developed rapidly over the past quarter century and in the process a number of divergent schools of thought have emerged. Multiple Criteria Decision Analysis: An Integrated Approach provides a
Belton, V., Stewart, T.J.
openaire   +1 more source

Heterogeneous Multiple Criteria Group Decision Analysis

2016
The purpose of this chapter is to develop the deviation modeling method to deal with the heterogeneous MCGDM problems with incomplete weight information in which the decision information is expressed as real numbers, interval numbers, linguistic variables, IFNs, HFEs and HFLTSs.
Xiaolu Zhang, Zeshui Xu
openaire   +1 more source

Deep preference learning for multiple criteria decision analysis

European Journal of Operational Research, 2022
Krzysztof Martyn, Miłosz Kadziński
semanticscholar   +1 more source

A modified VIKOR method for multiple criteria analysis

Environmental Monitoring and Assessment, 2009
The VIKOR method was developed to solve multiple criteria decision making (MCDM) problems with conflicting or non-commensurable criteria. This method assumes that compromising is acceptable for conflicting resolution. Although the VIKOR method is a popular method applied in multi-criteria analysis (MCA), it has some problems when solving MCDM problems.
openaire   +2 more sources

Identifying areas vulnerable to homicide using multiple criteria analysis and spatial analysis

, 2020
C. Mota, C. Figueiredo, D. V. S. Pereira
semanticscholar   +1 more source

Problem Structuring and Multiple Criteria Decision Analysis

2010
This chapter addresses two complementary themes in relation to problem structuring and MCDA. The first and primary theme highlights the nature and importance of problem structuring for MCDA and then reviews suggested ways for how this process may be approached. The integrated use of problem structuring methods (PSMs) and MCDA is one such approach; this
Valerie Belton, Theodor Stewart
openaire   +1 more source