A fuzzy topsis with z-numbers and a-cut for identifying smoking factors in Jordan

Multi-Criteria Decision Making (MCDM) technique is considered as one of the most widely employed approaches to address and tackle the problem of decision-making. The fuzzy technique is the most known method in MCDM for Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS...

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Main Author: Khaleel Yahia Awajan (Author)
Format: Thesis Book
Language:English
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008 200922s2020 my eng
040 |a UniSZA 
050 0 0 |a T5105 
090 0 0 |a T5105   |b .A93 2020 
100 0 |a Khaleel Yahia Awajan   |e author  
245 0 2 |a A fuzzy topsis with z-numbers and a-cut for identifying smoking factors in Jordan   |c Khaleel Yahia Awajan. 
264 0 |c 2020. 
300 |a xv, 134leaves;   |c 31cm. 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
502 |a Thesis (Master of Science) - Universiti Sultan Zainal Abidin,2020 
504 |a Includes bibliographical references (leaves 117-124) 
520 |a Multi-Criteria Decision Making (MCDM) technique is considered as one of the most widely employed approaches to address and tackle the problem of decision-making. The fuzzy technique is the most known method in MCDM for Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS). Nevertheless, there are certain conditions in F - TOPSIS need to be developed and improved in the second and fifth steps. The previous F-TOPSIS still unable to define the uncertainty. Ace rdingly, this current study develops F-TOPSIS with Z-number and a-cut based On multi-criteria decision-making problem. The integration and combination of Z­numbers and a-cut are considered the proper solution for the question of uncertainty as a result of the additional limitations and reliability parts. The proposed technique is applied for identifying smoking factors in Jordan. The needed data is collected from three different decision-makers: parents, students and health organizations in the form of linguistics variables. Six steps of F- TOPSIS with Z-numbers and a-cut presented in this current study to decide the ranking of the outputs. Then, a-cut ranging from (0, ... , I) is used to assess the suggested technique. The results of the study revealed that the superior alternative is A5 and the ranking order for the rest alternatives: A5 > A2 > Al > A4 > A6 > A3 where A5 is 'feel more adult', A2 is 'film star attraction', Al is 'parental influence', A4 is 'look cool/fashionable, A6 is 'parent neglect' and A3 is 'weight control', Accordingly, many of the Jordanians smoke since they feel that they are adult and mature. Moreover, the results of the correlation coefficients which are based on ten values of a-cut A I till A6 have strong positive relation since they correlate to a h other with 99%. Based on the results of the study, the F-TOPSIS with Z-numbers and a-cut presented a very fruitful strategy to handle Fuzzy Multi­Criteria Decision Making (FMCDM) problems in intelligent manner since it uses Z­numbers and a-cut with F-TOPSIS. Besides, it opens a rebellion in FMCDM area to supply variant strategies when dealing with decision-making problems. Thus, it provides us with different strategies and techniques in decision-making field.  
610 2 0 |a Universiti Sultan Zainal Abidin --   |x Dissertations  
650 0 |a Decision support systems  
650 0 |a Fuzzy systems  
650 0 |a Decision making --   |x Mathematical models  
710 2 |a Universiti Sultan Zainal Abidin  
999 |a 1000180262  |b Thesis  |c Reference  |e Tembila Thesis Collection