Evaluation of services using a fuzzy analytic hierarchy process

By L. Mikhailov, Petco E. Tsvetinov. Applied Soft Computing, 2004

467 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/f1a482324d37b861fa647236abc2bd2a6aa5b68b

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In Artificial Intelligence

In Management Science and Operations Research

In Organizational Behavior and Human Resource Management

Citations in the corpus

Modeling uncertainty in multi-criteria decision analysis (2012, methodology): “[97,98] uses a preference programming formulation to maximize the consistency of judgements and the possibility of those judgements.”
Analysis of the financial parameters of Serbian banks through the application of the fuzzy AHP and TOPSIS methods (2014, methodology): “The fuzzy AHP method (Fuzzy Analytic Hierarchy Process — FAHP) has been suggested by various authors (Buckley, 1985; Chang, 1996; Mikhailov and Tsvetinov, 2004; Van Laarhoven and Pedrcyz, 1983).”
Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods (2009, methodology): “Mikhailov and Tsvetinov (2004) applied a new fuzzy modification of the AHP for evaluating services .”
A review of fuzzy AHP methods for decision-making with subjective judgements (2020, methodology): “Chen and Yang (2011) use Mikhailov (2004)’s method to examine the consistency.”
An Integrated Decision-Making Model for Transformer Condition Assessment Using Game Theory and Modified Evidence Combination Extended by D Numbers (2016, background): “However, in many practical applications, such as condition assessment of transformers, expert objective predilection may be fuzzy [21], and the experts may not be willing to provide exact values for pair comparisons [22].”
Computer-aided machine-tool selection based on a Fuzzy-AHP approach (2008, methodology): “There are a number of procedures to perform the ranking process (Buckley, 1985; Mikhailov & Tsvetinov, 2004), among them we propose the utilization of the representative method, which is given by the following relation: where A = ( a 1 , a 2 , a 3 ) is a triangular number and b A represents the…”