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Application of fuzzy multi-criteria decision making for choosing the best strategy in joint stock fishing net manufacturing company: A case study in Iran
Author(s) -
Habibollah Salarzehi,
Habib Ebrahimpour,
Nour Mohammad Yaghoubi,
Estiri Majid,
Mousavi Somayeh
Publication year - 2012
Publication title -
african journal of business management
Language(s) - English
Resource type - Journals
ISSN - 1993-8233
DOI - 10.5897/ajbm11.129
Subject(s) - business , ranking (information retrieval) , beneficiary , fishing , strategic planning , stock (firearms) , electre , multiple criteria decision analysis , operations research , marketing , industrial organization , computer science , finance , engineering , fishery , mechanical engineering , machine learning , biology
In the process of strategic planning, time and uncertainty play an important role. Unpredictable changes in the environment have paralyzed many small and medium industries, wiped them out from competition scene and made the forecasts about the future status of the company fallen short. Companies are facing unpredictable new technologies, new products and emerging markets. Under such conditions, the current company strategies, do not meet their needs in this complex and dynamic environment. Small and medium companies in Iran are no exception from this condition and with the importation of foreign goods, these companies face an uncertain and unstable future. This study is focused on the application of fuzzy multi-criteria decision-making method for choosing the best strategy for the company manufacturing industrial fishing net in Zahedan. The studied company is the only fishing net producer in South East of Iran that provides fishing nets of fishing boat-used community. Fuzzy multi-criteria decision making method applies uncertainty information for the determination of indexes' significance, and views of beneficiary participants simultaneously in the strategic decision making. This approach helps the managers of the aforementioned company to use their present oral information in order to determine the best strategy and its execution.

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