n South African Journal of Industrial Engineering - Fuzzy analytic network process based multi criteria decision making methodology for a family automobile purchasing decision : case study

Volume 24, Issue 2
  • ISSN : 1012-277X



Nowadays, in parallel with the advancing technology, automobiles that have substantially advanced technological properties are being manufactured. Intended uses of the automobiles have been changing in our days in contrast to 1960s when automobiles were only used for transportation. Consumers, in our day and age, expect profoundly different properties from an automobile. In this context, more than one criterion become effective on making decision on purchasing an automobile that has the required properties. In such a kind of decision problem, making use of Multi Criteria Decision Making (MCDM) methods will ease the solution of the problem and will enable the decision makers to make right decisions. In this study, fuzzy Analytic Network Process (ANP) method, one of the MCDM methods, is used in automobile purchasing decision making. After determining decision criteria and alternatives, network structure of the automobile selection decision problem is formed, and by using fuzzy ANP method, the best one is selected among three alternative automobiles that are in the same segment and are very approximate to each other in terms of their properties and prices.

Motorvoertuie word in die huidige tydsgewrig deur vervaardigers met gevorderde tegnologiese eienskappe toegerus. Gevolglik word meer as 'n enkele kriterium deur voertuiggebruikers aangewend om 'n moderne model te evalueer. Sodanige evaluering word in hierdie navorsing gebaseer op 'n wasige analitiese netwerk metode. Nadat alle besluitvormingskriteria en alternatiewe vasgelê is, word die wasige model gebruik by die seleksie van 'n bepaalde voertuig uit 'n monster van drie soortgelyke voertuie.

Loading full text...

Full text loading...


Article metrics loading...


This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error