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The Scientific World Journal
Volume 2014, Article ID 904606, 11 pages
http://dx.doi.org/10.1155/2014/904606
Research Article

Novel Applications of Intuitionistic Fuzzy Digraphs in Decision Support Systems

1Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan
2Punjab University College of Information Technology, University of the Punjab, Old Campus, Lahore 54000, Pakistan

Received 20 April 2014; Accepted 21 May 2014; Published 16 June 2014

Academic Editor: Feng Feng

Copyright © 2014 Muhammad Akram et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [14 citations]

The following is the list of published articles that have cited the current article.

  • Muhammad Arif Butt, and Muhammad Akram, “A novel fuzzy decision-making system for CPU scheduling algorithm,” Neural Computing and Applications, 2015. View at Publisher · View at Google Scholar
  • Muhammad Arif Butt, and Muhammad Akram, “A new intuitionistic fuzzy rule-based decision-making system for an operating system process scheduler,” SpringerPlus, vol. 5, no. 1, 2016. View at Publisher · View at Google Scholar
  • Muhammad Akram, and Sundas Shahzadi, “Novel intuitionistic fuzzy soft multiple-attribute decision-making methods,” Neural Computing and Applications, 2016. View at Publisher · View at Google Scholar
  • Sundas Shahzadi, and Muhammad Akram, “Edge regular intuitionistic fuzzy soft graphs,” Journal of Intelligent & Fuzzy Systems, pp. 1–15, 2016. View at Publisher · View at Google Scholar
  • Shaista Habib, Muhammad Akram, and Ather Ashraf, “Fuzzy Climate Decision Support Systems for Tomatoes in High Tunnels,” International Journal of Fuzzy Systems, vol. 19, no. 3, pp. 751–775, 2016. View at Publisher · View at Google Scholar
  • Musavarah Sarwar, and Muhammad Akram, “An algorithm for computing certain metrics in intuitionistic fuzzy graphs,” Journal of Intelligent & Fuzzy Systems, vol. 30, no. 4, pp. 2405–2416, 2016. View at Publisher · View at Google Scholar
  • Muhammad Akram, and Rabia Akmal, “Operations on Intuitionistic Fuzzy Graph Structures,” Fuzzy Information and Engineering, vol. 8, no. 4, pp. 389–410, 2016. View at Publisher · View at Google Scholar
  • Fariha Zafar, and Muhammad Akram, “A Novel Decision-Making Method Based on Rough Fuzzy Information,” International Journal of Fuzzy Systems, 2017. View at Publisher · View at Google Scholar
  • Karunambigai, Muhammad Akram, Sivasankar, and Palanivel, “Clustering Algorithm for Intuitionistic Fuzzy Graphs,” International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, vol. 25, no. 3, pp. 367–383, 2017. View at Publisher · View at Google Scholar
  • Muhammad Akram, Musavarah Sarwar, and Rajab Ali Borzooei, “A novel decision-making approach based on hypergraphs in intuitionistic fuzzy environment,” Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 1905–1922, 2018. View at Publisher · View at Google Scholar
  • Hafsa Malik, Muhammad Akram, and Florentin Smarandache, “Soft Rough Neutrosophic Influence Graphs with Application,” Mathematics, vol. 6, no. 7, pp. 125, 2018. View at Publisher · View at Google Scholar
  • Jianming Zhan, Hafsa Masood Malik, and Muhammad Akram, “Novel decision-making algorithms based on intuitionistic fuzzy rough environment,” International Journal of Machine Learning and Cybernetics, 2018. View at Publisher · View at Google Scholar
  • Hafsa Masood Malik, and Muhammad Akram, “A new approach based on intuitionistic fuzzy rough graphs for decision-making,” Journal of Intelligent & Fuzzy Systems, vol. 34, no. 4, pp. 2325–2342, 2018. View at Publisher · View at Google Scholar
  • Sundas Shahzadi, and Muhammad Akram, “Graphs in an Intuitionistic Fuzzy Soft Environment,” Axioms, vol. 7, no. 2, pp. 20, 2018. View at Publisher · View at Google Scholar