Grey Multi Criteria Decision Making Methods

Zaher, Hegazy; Khalifa, Hamiden Abd El-Wahed; Mohamed, S. M.

doi:10.29322/ijsrp.8.5.2018.p7721

Cited by 2 publications

(1 citation statement)

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“…previous research conducted by [6], that the MOORA (Multi Objective Optimization on the basis of Ratio Analysis) Method was first proposed by Brauers and Zavadkas by considering useful and not useful goals (criteria) for determining rankings or selecting one or more alternative to the set of options available. Decisions made can be effective and better.…”

Section: Introductionmentioning

confidence: 99%

Hotel Employee Acceptance Assessment System With Android-Based Moora Method

Karpen¹,

Paramita²,

Fitri³

et al. 2020

JAIA

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Hotel is a company engaged in the field of services, which requires employees who have competencies in accordance with their fields. At present the existing employees are deemed to lack competency in accordance with their field of work. In order for employees to have competence according to their field of work, the hotel must carry out an acceptance assessment that requires certain criteria, such as education, foreign language acquisition, discipline, experience and others. One of the appropriate decision making methods for evaluating acceptance is the MOORA (Multi Objective Optimization on the basis of Ratio Analysis) method which is a multi-objective system that optimizes two or more conflicting criteria. The MOORA method has a degree of flexibility and ease of understanding in separating the subjective parts of an evaluation process into criteria, by determining the weights and attributes as decision making, the form of decision matrices and ranking. The criteria used in this study are height, experience, discipline, interviews, written tests, foreign languages, friendly, computer, software and medical checkups. To facilitate the assessment of acceptance, this system is applied based on Android, so that in addition to the hotel, prospective employees can also find out the results of the assessment. Based on the implementation of the system application, the use of the MOORA method for the hotel employee acceptance evaluation system can produce the right decision system, in accordance with the predetermined ranking, criteria and weight of the assessment

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Section: Introductionmentioning

confidence: 99%

Hotel Employee Acceptance Assessment System With Android-Based Moora Method

Karpen¹,

Paramita²,

Fitri³

et al. 2020

JAIA

View full text Add to dashboard Cite

show abstract

An augmented fuzzy decision support system to analyse compatible cosmetic face masks for various complexions

Brainy,

Narayanamoorthy,

Kalaiselvan

et al. 2024

Expert Systems

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Beauty face masks (BFM) are becoming increasingly popular among both men and women since they provide quick refreshment and nurture the skin. Given the wide range of skin types and the chemicals used in their formulation, it can be difficult to find a product that not only complements the skin type but is also free of potentially harmful ingredients that could endanger the consumer's health. When dealing with ambiguous situations, the multi‐attribute decision making (MADM) approach combined with fuzzy set theory is more effective. Type‐2 fuzzy sets (T2FS) provide greater flexibility in dealing with uncertainty in real‐world issues since they are characterised by a main and secondary membership function. In this research, we present the innovative idea of type‐2 linear diophantine fuzzy set (T2LDFS) as an intriguing tool for capturing expert reluctance about an issue. For analysing the discussed problem, a hybrid fuzzy VIKOR enhanced with the proposed fuzzy logic is suggested. A sensitivity and comparative analysis is carried out to establish the validity of the recommended approach.

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Grey Multi Criteria Decision Making Methods

Cited by 2 publications

References 0 publications

Hotel Employee Acceptance Assessment System With Android-Based Moora Method

Hotel Employee Acceptance Assessment System With Android-Based Moora Method

An augmented fuzzy decision support system to analyse compatible cosmetic face masks for various complexions

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