Fuzzy weighted averages and implementation of the extension principle
Fuzzy Sets and Systems
Fuzzy weighted average: an improved algorithm
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Combining numerical and linguistic information in group decision making
Information Sciences: an International Journal
Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
Fuzzy weighted average: The linear programming approach via charnes and cooper's rule
Fuzzy Sets and Systems
Centroid of a type-2 fuzzy set
Information Sciences: an International Journal
Type 2 representation and reasoning for CWW
Fuzzy Sets and Systems - Special issue: Approximate Reasoning in Words
Information Sciences—Informatics and Computer Science: An International Journal
Computing with words and its relationships with fuzzistics
Information Sciences: an International Journal
A fuzzy model for competency-based employee evaluation and selection
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Uncertainty measures for interval type-2 fuzzy sets
Information Sciences: an International Journal
Aggregation of ordinal information
Fuzzy Optimization and Decision Making
Information Sciences: an International Journal
Project manager competency development (pmcd) framework
Project manager competency development (pmcd) framework
A job placement intervention using fuzzy approach for two-way choice
Expert Systems with Applications: An International Journal
A fuzzy AHP approach to personnel selection problem
Applied Soft Computing
Information Sciences: an International Journal
Enhanced Karnik-Mendel algorithms
IEEE Transactions on Fuzzy Systems
Computing with words in decision making: foundations, trends and prospects
Fuzzy Optimization and Decision Making
Obtaining an FOU for a word from a single subject by an individual interval approach
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A new TOPSIS-based multi-criteria approach to personnel selection
Expert Systems with Applications: An International Journal
A fuzzy-genetic decision support system for project team formation
Applied Soft Computing
Fuzzy MCDM approach for selecting the best environment-watershed plan
Applied Soft Computing
Fuzzy multiple criteria hierarchical group decision-making based on interval type-2 fuzzy sets
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on model-based diagnostics
Support managers' selection using an extension of fuzzy TOPSIS
Expert Systems with Applications: An International Journal
On the retranslation process in Zadeh's paradigm of computing with words
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
Interval Type-2 Fuzzy Logic Systems Made Simple
IEEE Transactions on Fuzzy Systems
Aggregation Using the Linguistic Weighted Average and Interval Type-2 Fuzzy Sets
IEEE Transactions on Fuzzy Systems
Aggregation Using the Fuzzy Weighted Average as Computed by the Karnik–Mendel Algorithms
IEEE Transactions on Fuzzy Systems
Encoding Words Into Interval Type-2 Fuzzy Sets Using an Interval Approach
IEEE Transactions on Fuzzy Systems
Perceptual Reasoning for Perceptual Computing
IEEE Transactions on Fuzzy Systems
Fuzzy Optimization and Decision Making
Information Sciences: an International Journal
Soft computing-based preference selection index method for human resource management
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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As part of human resource management policies and practices, construction firms need to define competency requirements for project staff, and recruit the necessary team for completion of project assignments. Traditionally, potential candidates are interviewed and the most qualified are selected. Applicable methodologies that could take various candidate competencies and inherent uncertainties of human evaluation into consideration and then pinpoint the most qualified person with a high degree of reliability would be beneficial. In the last decade, computing with words (CWW) has been the center of attention of many researchers for its intrinsic capability of dealing with linguistic, vague, interdependent, and imprecise information under uncertain environments. This paper presents a CWW approach, based on the specific architecture of Perceptual Computer (Per-C) and the Linguistic Weighted Average (LWA), for competency based selection of human resources in construction firms. First, human resources are classified into two types of main personnel: project manager and engineer. Then, a hierarchical criteria structure for competency based evaluation of each main personnel category is established upon the available literature and survey. Finally, the perceptual computer approach is utilized to develop a practical model for competency based selection of personnel in construction companies. We believe that the proposed approach provides a useful tool to handle personnel selection problem in a more reliable and intelligent manner.