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Methods for probabilistic decision making with linguistic information
- Source :
- Technological and Economic Development of Economy, Vol 20, Iss 2 (2014)
- Publication Year :
- 2014
- Publisher :
- Vilnius Gediminas Technical University, 2014.
-
Abstract
- With respect to decision making problems by using probabilities, immediate probabilities and information that can be represented with linguistic labels, some new decision analysis are proposed. Firstly, we shall develop three new aggregation operators: generalized probabilistic 2-tuple weighted average (GP-2TWA) operator, generalized probabilistic 2-tuple ordered weighted average (GP-2TOWA) operator and generalized immediate probabilistic 2-tuple ordered weighted average (GIP-2TOWA) operator. These operators use the weighted average (WA) operator, the ordered weighted average (OWA) operator, linguistic information, probabilistic information and immediate probabilistic information. They are quite useful because they can assess the uncertain information within the problem by using both linguistic labels and the probabilistic information that considers the attitudinal character of the decision maker. In these approaches, alternative appraisal values are calculated by the aggregation of 2-tuple linguistic information. Thus, the ranking of alternative or selection of the most desirable alternative(s) is obtained by the comparison of 2-tuple linguistic information. Finally, we give an illustrative example about selection of strategies to verify the developed approach and to demonstrate its feasibility and practicality. First published online: 28 Jan 2014
- Subjects :
- decision making
linguistic information
probabilistic
generalized probabilistic 2-tuple weighted average (GP-2TWA) operator
generalized probabilistic 2-tuple ordered weighted average (GP-2TOWA) operator
generalized immediate probabilistic 2-tuple ordered weighted average (GIP-2TOWA) operator
Economic growth, development, planning
HD72-88
Business
HF5001-6182
Subjects
Details
- Language :
- English
- ISSN :
- 20294913 and 20294921
- Volume :
- 20
- Issue :
- 2
- Database :
- Directory of Open Access Journals
- Journal :
- Technological and Economic Development of Economy
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.6ae8647216484ed08734e74fb2eaa8f5
- Document Type :
- article
- Full Text :
- https://doi.org/10.3846/20294913.2014.869515