Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Using fuzzy numbers to evaluate perceived service quality
Fuzzy Sets and Systems - Special issue on fuzzy numbers and uncertainty
Integration of environmental considerations in quality function deployment by using fuzzy logic
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
The extension of fuzzy QFD: From product planning to part deployment
Expert Systems with Applications: An International Journal
A fuzzy model for exploiting quality function deployment
Mathematical and Computer Modelling: An International Journal
Green supply implementation based on fuzzy QFD: an application in GPLM system
WSEAS TRANSACTIONS on SYSTEMS
Review: A state-of the-art survey of TOPSIS applications
Expert Systems with Applications: An International Journal
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Mobile cellular telecommunication success in target markets first requires ranking the customer's expectations and then prioritizing the engineering characteristics (ECs) to meet the expectations. In this paper, two prioritization models based on quality function deployment (QFD) are developed to rank the strategic actions (SAs), or the ECs of Iran mobile cellular telecommunication. QFD is a widely used customer-driven tool for which the success of its applications may be the result of some of its benefits, such as greater customer focus. It uses a matrix called House of Quality (HOQ) to translate Customer Attributes (CAs) into ECs. However, due to the high degree of subjectivity in constructing the HOQ, the application of fuzzy logic provides an efficient tool to handle the subjective assessments. On the other hand, taking into consideration the gap between the current state and the positive ideal state for each CA, TOPSIS is used to rank CAs in a first model. In addition, in a second model, using the analytic hierarchy process (AHP), more criteria are taken into consideration in ranking CAs. Also, a fuzzy utility factor, B"j, is used to rank SAs in both models. Both presented models have the ability to capture the vagueness of human thinking style, and let customer oriented organizations, such as MCI, derive benefits from the voice of the customer (VOC) in a more expressive way.