A fuzzy multiple-attribute decision making model to evaluate new product pricing strategies
Adil Baykasoğlu (),
İlker Gölcük and
Derya Eren Akyol
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Adil Baykasoğlu: Dokuz Eylül University
İlker Gölcük: Dokuz Eylül University
Derya Eren Akyol: Dokuz Eylül University
Annals of Operations Research, 2017, vol. 251, issue 1, No 13, 205-242
Abstract The aim of this paper is to provide a new fuzzy Multiple-Attribute Decision Making model for evaluating product pricing strategies. The problem is structured in a hierarchical setting. Possible interactions and interdependencies among hierarchically structured criteria are taken into consideration. Since new product pricing decisions entail decision makers’ uncertain judgments concerning many interacting factors, Fuzzy Cognitive Maps are employed to analyze causal dependencies among attributes. Finally, decision makers’ linguistic assessments are transformed into ranking orders of the pricing strategies using the Technique for Order Preference by Similarity to Ideal Solution. The proposed model is implemented in a Turkish software company. The case study has showed that the proposed model is practical and easy to apply. The proposed model can be incorporated into marketing strategies of wide variety of new products.
Keywords: New product pricing; Fuzzy cognitive maps; Hierarchical fuzzy TOPSIS; MADM (search for similar items in EconPapers)
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