Fuzzy cognitive model development for monitoring of results and reporting within the UN FAO food security program

Aliyev E., Rzayeva I., Askerov N.

9th International Conference on Theory and Application of Soft Computing, Computing with Words and Perception (ICSCCW), Budapest, Hungary, 22 - 25 August 2017, pp.430-437 identifier identifier

  • Nəşrin Növü: Conference Paper / Full Text
  • Doi nömrəsi: 10.1016/j.procs.2017.11.260
  • Çap olunduğu şəhər: Budapest
  • Ölkə: Hungary
  • Səhifə sayı: pp.430-437
  • Adres: Bəli

Qısa məlumat

A fuzzy cognitive model was developed and described for assessing the level of food security for countries where there is no guaranteed regular access of the population to high-quality food necessary for an active and healthy lifestyle. As a basis it was chosen a cognitive map covering a rather wide range of food security influences, approved in the FAO Strategic Program for 2014-2017. To formalize the appropriate cause-effect relationships between these influences, bounded sets of fuzzy logic rules are used. (c) 2018 The Authors. Published by Elsevier B.V.