Fuzzy weighted averages and implementation of the extension principle
Fuzzy Sets and Systems
Fuzzy weighted average: an improved algorithm
Fuzzy Sets and Systems
Tool steel materials selection under fuzzy environment
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
An efficient algorithm for fuzzy weighted average
Fuzzy Sets and Systems
Fuzzy logic and optimization models for implementing QFD
Proceedings of the 23rd international conference on on Computers and industrial engineering
Transportation projects selection process using fuzzy sets theory
Fuzzy Sets and Systems - special issue on fuzzy sets in traffic and transport systems
Fuzzy weighted average: The linear programming approach via charnes and cooper's rule
Fuzzy Sets and Systems
Fractional programming approach to fuzzy weighted average
Fuzzy Sets and Systems
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy weighted averages revisited
Fuzzy Sets and Systems - Information processing
Data analysis approaches of soft sets under incomplete information
Knowledge-Based Systems
Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean
Expert Systems with Applications: An International Journal
Fuzzy aggregation and averaging for group decision making: A generalization and survey
Knowledge-Based Systems
Short communication: A novel method for hybrid multiple attribute decision making
Knowledge-Based Systems
Decider: A fuzzy multi-criteria group decision support system
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Journal of Computer and System Sciences
Application of fuzzy calculations for improving portfolio matrices
Information Sciences: an International Journal
Algorithms for fuzzy multi expert multi criteria decision making (ME-MCDM)
Knowledge-Based Systems
A simple approach to ranking a group of aggregated fuzzy utilities
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Competitiveness of manufacturing firms: an application of fuzzy weighted average
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Paper: Rating and ranking of multiple-aspect alternatives using fuzzy sets
Automatica (Journal of IFAC)
A Comparison of Discrete Algorithms for Fuzzy Weighted Average
IEEE Transactions on Fuzzy Systems
Aggregation Using the Fuzzy Weighted Average as Computed by the Karnik–Mendel Algorithms
IEEE Transactions on Fuzzy Systems
On teaching median-finding algorithms
IEEE Transactions on Education
A linguistic aggregation operator with three kinds of weights for nuclear safeguards evaluation
Knowledge-Based Systems
Computers and Industrial Engineering
Short Communication: A new optimal consensus method with minimum cost in fuzzy group decision
Knowledge-Based Systems
A competitive ensemble pruning approach based on cross-validation technique
Knowledge-Based Systems
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The fuzzy weighted average (FWA), which is a function of fuzzy numbers and is useful as an aggregation method in engineering or management science based on fuzzy sets theory. It provides a discrete approximate solution by @a-cuts level representation of fuzzy sets and interval analysis. Since the FWA method has an exponential complexity, thus several researches have focused on reducing this complexity. This paper also presents an enhanced fuzzy weighted average approach to achieve the objective of reducing the complexity. This proposed approach is through an improved initial solution for original FWA algorithm, and a two-phase concept by extending and applying both the algorithms of Chang et al. [4] and Guu [14]. Although the complexity of the proposed FWA algorithm is O(n) the same as Guu [14] which is the best level achieved to date. But from the experimental results appear that the proposed algorithm is more efficient, which only needs a few evaluated numbers and spend much less overall CPU time than Guu [14] and other FWA algorithms. In order to demonstrate the usefulness of this study, a practical example for unmanned aerial vehicle (UAV) selecting under military requirement has illustrated. Additionally, a computer-based interface, which helps the decision maker make decisions more efficiently, has been developed.