On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
On Compatibility of Interval Fuzzy Preference Relations
Fuzzy Optimization and Decision Making
Information Sciences—Informatics and Computer Science: An International Journal
Decision consolidation: criteria weight determination using multiple preference formats
Decision Support Systems
Information Sciences—Informatics and Computer Science: An International Journal
An overview of methods for determining OWA weights: Research Articles
International Journal of Intelligent Systems
A Direct Approach to Group Decision Making with Uncertain Additive Linguistic Preference Relations
Fuzzy Optimization and Decision Making
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Using the analytic network process (ANP) in a SWOT analysis - A case study for a textile firm
Information Sciences: an International Journal
Group decision making based on multiple types of linguistic preference relations
Information Sciences: an International Journal
Information Sciences: an International Journal
On multi-period multi-attribute decision making
Knowledge-Based Systems
Make-to-order or make-to-stock decision by a novel hybrid approach
Advanced Engineering Informatics
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Linguistic multiperson decision making based on the use of multiple preference relations
Fuzzy Sets and Systems
On the priority vector associated with a reciprocal relation and a pairwise comparison matrix
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Supplier selection and order allocation based on fuzzy SWOT analysis and fuzzy linear programming
Expert Systems with Applications: An International Journal
A mobile decision support system for dynamic group decision-making problems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A consensus model for multiperson decision making with different preference structures
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Nonlinear Programming Model Integrating Different Preference Structures
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Application of a quantification SWOT analytical method
Mathematical and Computer Modelling: An International Journal
Deriving interval weights from an interval multiplicative consistent fuzzy preference relation
Knowledge-Based Systems
The quasi-arithmetic intuitionistic fuzzy OWA operators
Knowledge-Based Systems
A linguistic aggregation operator with three kinds of weights for nuclear safeguards evaluation
Knowledge-Based Systems
Multi-attribute group decision making models under interval type-2 fuzzy environment
Knowledge-Based Systems
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SWOT analysis is an important support tool for decision-making, and is commonly used to systematically analyze organizations' internal and external environments. However, one of its deficiencies is in the measurement and evaluation of prioritization of the factors and strategies. This paper is aimed to present a novel quantified SWOT analytical method based multiple criteria group decision-making (MCGDM) concept, in which the priorities of SWOT factors and groups are derived by multiple decision makers (DMs) with nonhomogeneous uncertain preference information (NUPI), such as interval multiplicative preference relations, interval fuzzy preference relations, and uncertain linguistic preference relations. In this method, the SWOT analysis provides a basic frame within which to perform analyses of decision situations, in turn, MCGDM methods assist in carrying out SWOT more analytically and in elaborating the results of the analyses so that SWOT factors and groups can be prioritized with respect to the entire SWOT. The uniform and aggregation of the NUPI and the derivation of priorities for SWOT groups and factors are investigated in detail. Finally, an example is to validate the procedure of the proposed method.