Title :
Selection of wheat variety using improved LFDN method
Author :
Hefhy, Hesham Ahmed ; Hassan, Hesham Ahmed ; Elomda, Basem Mohamed ; Ashmawy, Fathy ; Hazman, Maryam
Author_Institution :
Inst. of Stat. Studies & Res. (ISSR), Cairo Univ., Cairo, Egypt
Abstract :
Selecting the best wheat variety seed from many different types of varieties for cultivating in specified field is a complex process that faces the Decision makers (e.g. farmers, their advisors, and stakeholders). Right decision in the selection of the best wheat variety to be grown will ultimately convert into a successful farming plan. On the other hand, selecting the suitable variety for season among the many alternatives is a multi-criteria decision making problem. In this paper, the structure of Linguistic Fuzzy Decision Network (LFDN) method is improved to be applied in a case study from real world to determine the best wheat variety among four varieties-namely: Sakha 94, Gemmeiza 10, Giza 186 and Sids 1 regarding to multiple criteria namely: Soil Salinity, Soil Type, Yield and Diseases.
Keywords :
crops; decision making; farming; fuzzy set theory; operations research; plant diseases; Gemmeiza 10; Giza 186; Sakha 94; Sids 1; decision maker; farming plan; improved LFDN method; linguistic fuzzy decision network method; multicriteria decision making problem; plant diseases; soil salinity; soil type; wheat variety seed; wheat variety selection; yield; Diseases; Educational institutions; Operations research; Pragmatics; Silicon; Soil; Vectors; Fuzzy Cognitive Map; Fuzzy Decision Map; Linguistic Fuzzy Decision Network; Multi Criteria Decision Making; wheat variety Selection;
Conference_Titel :
Informatics and Systems (INFOS), 2014 9th International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-977-403-689-7
DOI :
10.1109/INFOS.2014.7036693
