Ranking of MUDA using AHP and Fuzzy AHP algorithm

Gnanavelbabu, A.; Arunagiri, P.

doi:10.1016/j.matpr.2018.02.334

Cited by 62 publications

(46 citation statements)

References 18 publications

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“…In this paper, we suggest using AHP method to determine the weights of three experts on a criterion. Three types of experts are compared two by two, thus the judgment matrix is constructed [48]. The relative importance of each expert is obtained through normalization and a series of calculation steps.…”

Section: Weight Determination Methods For Three Types Of Expertsmentioning

confidence: 99%

Mass Collaboration-Driven Method for Recommending Product Ideas Based on Dempster-Shafer Theory of Evidence

Shan

et al. 2018

Mathematical Problems in Engineering

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In the mass collaboration mode, there exist a large number of product ideas with low value density and thousands of participants who are differed on their professional backgrounds, knowledge structures, and value orientations. It is impossible for each participant to give a comprehensive evaluation of each idea as that in traditional methods for the reasons as mentioned above. In order to solve this problem, a mass collaboration-driven method for recommending product ideas is proposed based on Dempster-Shafer theory of evidence (DST). Firstly, the method for computing basic probability assignment (BPA) function, which can effectively reflect the facticity of experts’ evaluations, is introduced by discounting belief degrees with weights to extract the evaluation information of product ideas. Then, Dempster’s combination rule is used to combine the derived BPA functions for two times: the first one is to combine the discounted BPA functions on all criteria with respect to a specified expert and the other is to combine the combined BPA functions for all experts with respect to a specified alternative. Finally, the steps of mass collaboration-driven method for recommending product ideas based on the DST are proposed. An illustrative example is provided to demonstrate the applicability of the proposed method.

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Section: Weight Determination Methods For Three Types Of Expertsmentioning

confidence: 99%

Mass Collaboration-Driven Method for Recommending Product Ideas Based on Dempster-Shafer Theory of Evidence

Shan

et al. 2018

Mathematical Problems in Engineering

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“…In Table 1, some of the papers are examined with the applications of MCDM methods to find the best alternative among several layout designs. For instance, an analysis of AHP and fuzzy AHP for the lean waste identification model is presented [14]. The underlying assumption in AHP is having independent criteria, in which the problem can be structured as a hierarchy that gives the decision makers a clear understanding of the problem [15].…”

Section: Related Workmentioning

confidence: 99%

The evaluation of appropriate office layout design with MCDM techniques

2020

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Office layout design is pertinent in terms of ergonomics to obtain a sustainable workspace. There are five workplace evaluation parameters to be considered, namely successiveness, work within the limits of biological ability, work within the limits of sustainable work performance, work within the social limits, and work fulfilling psychological expectations and individual satisfaction of being able to exercise all abilities. In ergonomics, job satisfaction is an essential matter for an employee to perform a task productively. Since the office design mostly affects the worker's performance and health at the same time, it is a requirement to create sustainable workplace. Multi-criteria decision-making methods are not only broadly used in different fields and disciplines, but are also considered to be an essential field in ergonomics. This paper aimed to propose a method in order to analyze and compare the office layout design with the methods of analytical hierarchy process, elimination and choice translating reality, and permutation method. The criteria in this paper are established in a hierarchical order by employing these methods. All in all, office alternatives are compared, and the overall results are examined.

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“…). (10) Obviously, Equations (9) and (10) are fuzzy weighted average (FWA) problems. A variant of FGM (a simplified yet more prevalent version), indicated with FGMi, is to ignore the dependency between the dividend and divisor of either equation.…”

Section: Applying the Fgm Approach To Estimate The Fuzzy Weightsmentioning

confidence: 99%

“…Three DMs, including one industrial engineering manager, one production control manager, and one procurement department manager, were involved in the supplier selection problem. At first, each of them utilized the following linguistic terms [30] to express his/her belief about the relative importance of a dimension over another: L1: "As equal as" = (1, 1, 3); L2: "Weakly more important than" = (1, 3, 5); L3: "Strongly more important than" = (3, 5, 7); L4: "Very strongly more important than" = (5, 7, 9); L5: "Absolutely more important than" = (7,9,9).…”

Section: Application To a Supplier Selection Problemmentioning

confidence: 99%

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A Partial-Consensus Posterior-Aggregation FAHP Method—Supplier Selection Problem as an Example

Wang

Chen

2019

Mathematics

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Existing fuzzy analytic hierarchy process (FAHP) methods usually aggregate the fuzzy pairwise comparison results produced by multiple decision-makers (DMs) rather than the fuzzy weights estimations. This is problematic because fuzzy pairwise comparison results are subject to uncertainty and lack consensus. To address this problem, a partial-consensus posterior-aggregation FAHP (PCPA-FAHP) approach is proposed in this study. The PCPA-FAHP approach seeks a partial consensus among most DMs instead of an overall consensus among all DMs, thereby increasing the possibility of reaching a consensus. Subsequently, the aggregation result is defuzzified using the prevalent center-of-gravity method. The PCPA-FAHP approach was applied to a supplier selection problem to validate its effectiveness. According to the experimental results, the PCPA-FAHP approach not only successfully found out the partial consensus among the DMs, but also shrunk the widths of the estimated fuzzy weights to enhance the precision of the FAHP analysis.

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Ranking of MUDA using AHP and Fuzzy AHP algorithm

Cited by 62 publications

References 18 publications

Mass Collaboration-Driven Method for Recommending Product Ideas Based on Dempster-Shafer Theory of Evidence

Mass Collaboration-Driven Method for Recommending Product Ideas Based on Dempster-Shafer Theory of Evidence

The evaluation of appropriate office layout design with MCDM techniques

A Partial-Consensus Posterior-Aggregation FAHP Method—Supplier Selection Problem as an Example

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