Developing a Decision Model for Asthma Exacerbations: Combining Rough Sets and Expert-Driven Selection of Clinical Attributes

2006 ◽  
pp. 428-437 ◽  
Author(s):  
Ken Farion ◽  
Wojtek Michalowski ◽  
Szymon Wilk
Keyword(s):  
Rough Sets ◽  
Decision Model ◽  
Asthma Exacerbations ◽  
Selection Of

Selection of funding schemes by a borrowing decision model: a Hong Kong case study

2006 ◽  
Vol 24 (4) ◽  
pp. 349-365 ◽  
Author(s):  
C. M. Tang ◽  
C. W. Y. Wong ◽  
A. Y. T. Leung ◽  
K. C. Lam
Keyword(s):  
Hong Kong ◽  
Decision Model ◽  
Selection Of

scholarly journals Linear Diophantine Fuzzy Soft Rough Sets for the Selection of Sustainable Material Handling Equipment

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1215
Author(s):  
Muhammad Riaz ◽  
Masooma Raza Hashmi ◽  
Humaira Kalsoom ◽  
Dragan Pamucar ◽  
Yu-Ming Chu
Keyword(s):  
Fuzzy Sets ◽  
Rough Sets ◽  
Material Handling ◽  
Optimal Decision ◽  
Soft Sets ◽  
Sustainable Material ◽  
Material Handling Equipment ◽  
Core Set ◽  
Modeling Uncertainties ◽  
Selection Of

The concept of linear Diophantine fuzzy sets (LDFSs) is a new approach for modeling uncertainties in decision analysis. Due to the addition of reference or control parameters with membership and non-membership grades, LDFS is more flexible and reliable than existing concepts of intuitionistic fuzzy sets (IFSs), Pythagorean fuzzy sets (PFSs), and q-rung orthopair fuzzy sets (q-ROFSs). In this paper, the notions of linear Diophantine fuzzy soft rough sets (LDFSRSs) and soft rough linear Diophantine fuzzy sets (SRLDFSs) are proposed as new hybrid models of soft sets, rough sets, and LDFS. The suggested models of LDFSRSs and SRLDFSs are more flexible to discuss fuzziness and roughness in terms of upper and lower approximation operators. Certain operations on LDFSRSs and SRLDFSs have been established to discuss robust multi-criteria decision making (MCDM) for the selection of sustainable material handling equipment. For these objectives, some algorithms are developed for the ranking of feasible alternatives and deriving an optimal decision. Meanwhile, the ideas of the upper reduct, lower reduct, and core set are defined as key factors in the proposed MCDM technique. An application of MCDM is illustrated by a numerical example, and the final ranking in the selection of sustainable material handling equipment is computed by the proposed algorithms. Finally, a comparison analysis is given to justify the feasibility, reliability, and superiority of the proposed models.

Decision model for selection of technologies to reduce IT operations energy cost in a medium-sized firm

2013 ◽  
Vol 6 (2) ◽  
pp. 151-170 ◽  
Author(s):  
Tugrul U. Daim ◽  
Ibrahim Iskin ◽  
Robert DeLay ◽  
Lokesh Honnappa ◽  
Vorakarn Chiamsiri ◽  
...  
Keyword(s):  
Energy Cost ◽  
Decision Model ◽  
It Operations ◽  
Selection Of
Sign in / Sign up

Export Citation Format

Share Document