Intuitionistic fuzzy divergence measure-based ELECTRE method for performance of cellular mobile telephone service providers

2018 ◽  
Vol 32 (8) ◽  
pp. 3901-3921 ◽  
Author(s):  
Arunodaya Raj Mishra ◽  
Rahul Kumar Singh ◽  
Deepak Motwani
Author(s):  
Ian Campbell

This year is the 30th anniversary of Telecom Australia's  launch of  the cellular mobile service in Australia. There has been a huge evolution in mobile services since then.The Postmaster-General's Department (PMG) introduced a manually (operator) connected mobile service in Australia in 1950. As this service approached full capacity, Telecom launched a Public Automatic Mobile Telephone Service (PAMTS)  in 1981. The PAMTS service had no future technology evolution, a 12 year life, and reached a peak of 14,000 customers.By 1985 a small engineering team had developed a cellular mobile service concept based on the Analogue Mobile Phone Service (AMPS ) standard. Development was accelerated and refined and the service was launched in 1987, arguably two and perhaps three years late.This is the story of the development and launch of the service and the growth over the first four years to 1991.Noting the experience of cellular operators in the USA, Canada and the UK, Telecom's mobile service concept was a "gold standard" for cellular services around the world, and the service achieved one of the fastest growth rates in its early years.Within four years it was a cash flow powerhouse, and one of only three services within Telecom that were profitable; the others were the basic telephone service and directory publishing.When transferred to Telstra in 1992 it was a strategically strong, highly profitable business prepared to defend against competition being introduced into the Australian telecommunications market, and was a foundation of Telstra's financial strength for the next 30 years.


Author(s):  
Adeeba Umar ◽  
Ram Naresh Saraswat

Background: The notion of fuzzy set was introduced by Zadeh. After that, many researchers extended the concept of fuzzy sets in different ways. Atanassov introduced the concept of intuitionistic fuzzy sets as an extension of fuzzy sets. This concept is applied in many fields such as bio-informatics, image processing, decision making, feature selection, pattern recognition etc. Objectives: The prime objective of this paper is to introduce a new generalized intuitionistic fuzzy divergence measure with proof of its validity and discussions on its elegant properties. Applications of the proposed divergence measure in multi-attribute decision making and pattern recognition are also discussed with some numerical illustrations. Further, the proposed divergence measure is compared with other methods for solving MADM and pattern recognition problems which exist in the literature. Methods: Divergence measure method is used to measure the divergence between two given sets. Also, the results of the other existing measures are also given to compare with the proposed measure. Results: We see that our proposed divergence measure found much better results in comparison with the other existing methods. Conclusion: A new divergence measure for intuitionistic fuzzy sets is introduced with some of its properties. Applications of the proposed divergence measure to pattern recognition and MADM are illustrated through examples. The comparison of the proposed method with the existing methods shows the legacy of the results of the proposed method. It is concluded that the proposed divergence measure is effective for solving real world problems related to MADM and pattern recognition.


2015 ◽  
Vol 70 ◽  
pp. 2-8 ◽  
Author(s):  
Rajeev Kaushik ◽  
Rakesh Kumar Bajaj ◽  
Tanuj Kumar

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