Journals / Uluslararası Doğu Anadolu Fen Mühendislik ve Tasarım Dergisi / 2020 / Cilt: 2 - Sayı: 1

A Fuzzy Inference System Proposal for Selecting Marketing Strategy

Pazarlama Stratejisi Seçmek için Bulanık Çıkarım Sistemi Önerisi

Pages
1–21
Publication Date
2020-07-15
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

When the proposed system was evaluated by experts, it was seen that satisfactory results were achieved.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Changes in customer demands and advances in technology have led to the emergence of various marketing sectors.
📊
Key Findings & Data:In this study, a fuzzy inference system has been proposed to provide support for the decision-making process related to the marketing strategy of the firm.
💡
Conclusion & Impact:When the proposed system was evaluated by experts, it was seen that satisfactory results were achieved.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Bulanık çıkarım sistemi · Bulanık mantık · Pazarlama stratejisi

Abstract

Changes in customer demands and advances in technology have led to the emergence of various marketing sectors. As a result of this, the expectation of each generation from brands or companies has become different. In addition, customers have begun to consider alternatives before purchasing a product, taking into account the various features that best meet their needs. Due to changing conditions, companies have forced to consider various criteria when determining their target markets and the types of products they introduce into the market. In this study, a fuzzy inference system has been proposed to provide support for the decision-making process related to the marketing strategy of the firm. When the proposed system was evaluated by experts, it was seen that satisfactory results were achieved.

Özet

Müşteri taleplerindeki değişmeler ve teknolojideki gelişmeler, çeşitli pazarlama sektörlerinin ortaya çıkmasına neden olmuştur. Bunun sonucu olarak, her neslin markalardan veya şirketlerden beklentileri farklılaşmıştır. Ek olarak müşteriler, bir ürünü satın almadan önce gereksinimlerini en üst düzeyde karşılayan çeşitli özellikleri göz önünde bulundurarak alternatifleri değerlendirmeye başlamıştır. Değişen koşullar nedeniyle şirketler, hedef pazarlarını ve pazara sundukları ürün türlerini belirlerken çeşitli kriterleri göz önünde bulundurmak zorunda kalmaktadır. Bu çalışmada, firmanın pazarlama stratejisiyle ilgili karar verme sürecine destek sağlamak için bulanık bir çıkarım sistemi önerilmiştir. Önerilen sistem uzmanlar tarafından değerlendirildiğinde tatmin edici sonuçlara ulaşıldığı görülmüştür.

🔖

Cite This Article

KOKOÇ, M., ERSÖZ, S., AKTEPE, A. (2020). A Fuzzy Inference System Proposal for Selecting Marketing Strategy. Uluslararası Doğu Anadolu Fen Mühendislik ve Tasarım Dergisi, Cilt: 2 - Sayı: 1, 1–21. https://ajindex.com/articles/815821

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (11)

  1. Aghdaie, M. H., and Alimardani, M. (2015). Target market selection based on market segment evaluation: a multiple attribute decision making approach. International Journal of Operational Research, 24(3), 262-278.
  2. Akın, O., and Oruç, O. (2012). A prey predator model with fuzzy initial values. Hacettepe Journal of Mathematics and Statistics, 41(3), 387-395.
  3. Bang, V. V., and Joshi, S. L. (2010). Market expansion strategy–performance relationship. Journal of Strategic Marketing, 18(1), 57-75. Casabayó, M., Agell, N., and Sánchez-Hernández, G. (2015). Improved market segmentation by fuzzifying crisp clusters: A case study of the energy market in Spain. Expert Systems with Applications, 42(3), 1637-1643.
  4. Chen, B. C. (2017). Study on establishment of product life cycle model of cultural creative product industrialization. International Conference on Applied System Innovation (ICASI) (pp. 1259-1262),
  5. Sapporo, Japan. Chen, C. T., Lin, C. T., and Huang, S. F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International journal of production economics, 102(2), 289-301.
  6. Dalgıç, A. (2017). A RFID-Based Approach in the Effective Management of Stocks and an Implementation in FNSS Through Grouping Algorithm. Master of Science Thesis. Natural and Applied Sciences, Kırıkkale University, Kırıkkale. Durmaz, Y., and İlhan, A. (2015). Growth Strategies in Businesses and A Theoretical Approach. International Journal of Business and Management, 10(4), 210. Fırat, A., Türker, G. O., and Metin, I. (2014). Specification of Target Market In Small And Medium Scale Accommodation Businesses: A Study On Boutique Hotels Operating In City Of Muğla. International journal of academic research, 6(1), 88-82.
  7. Forrest, J. Y. L., Buttermore, J., and Wajda, T. A. (2017). At Nash equilibrium when new market competitions appear?. Kybernetes, 46(2), 256-271.
  8. Gaston-Breton, C., and Martín Martín, O. (2011). International market selection and segmentation: a two-stage model. International Marketing Review, 28(3), 267-290.
  9. Guillaume, S. (2001). Designing fuzzy inference systems from data: An interpretability-oriented review. IEEE transactions on fuzzy systems, 9(3), 426-443.
  10. Guillaume, S., and Charnomordic, B. (2012). Fuzzy inference systems: An integrated modeling environment for collaboration between expert knowledge and data using FisPro. Expert Systems with Applications, 39(10), 8744-8755.
  11. Hamal, S. (2011). Fuzzy Analytic Network Process for Selecting Opti