z-logo
open-access-imgOpen Access
A study of cosmetic bundle by utilizing a fuzzy Analytic Hierarchy Process (AHP) to determine preference of product attributers toward customer value
Author(s) -
Chang Kuei Feng,
Yang Hao Wei
Publication year - 2011
Publication title -
african journal of business management
Language(s) - English
Resource type - Journals
ISSN - 1993-8233
DOI - 10.5897/ajbm10.933
Subject(s) - analytic hierarchy process , product (mathematics) , fuzzy logic , hierarchy , computer science , quality (philosophy) , process (computing) , preference , value (mathematics) , bundle , operations research , marketing , business , process management , mathematics , artificial intelligence , economics , statistics , machine learning , philosophy , materials science , geometry , epistemology , market economy , composite material , operating system
Determining the preferences of product attributes for customer value is a crucial issue driven by multiple requirements on the customers. However, arising from mental and psychological phenomena factors, people’s judgments on the importance of customer requirements is imprecise and vague. The fuzzy analysis hierarchy process (FAHP) with an extent analysis is utilized to determine preferences toward customer value to overcome this uncertainty in theAnalytic Hierarchy Process (AHP). With this method, the researcher can use triangular fuzzy numbers for the pair wise comparisons and derive the weight vectors. Based on the calculations results, the manufacturers could implement product design and quality management to prioritize customer requirements; besides, retailers are also able to understand what kind of benefits or performances are customers prefer and thereby develop strategic appeal for them.   Key words: Fuzzy AHP, product attributes, extent analysis, customer value.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom