Statistical and analytical comparison of multi-criteria decision-making techniques under fuzzy environment

Zamanisabzi, Hamed; King, James P.; Gard, Charlotte C.; Abudu, Shalamu

doi:10.1016/j.orp.2016.11.001

Cited by 72 publications

(39 citation statements)

References 29 publications

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“…For combining the abilities, ideas, and opinions of a decision-maker, the linguistic predicting is converted to fuzzy numbers. Fuzzy AHP improves the capacity of the decision-making manner in any observation than conventional AHP (Zamani-Sabzi et al, 2016). The geometric mean method proposed by Buckley (Buckley, 1985) was adopted to make a comparison between the features, to calculate the fuzzy number and final weight of each used element, the linguistic terms were expressed in different importance level as shown in Table 2.…”

Section: Fuzzy Analytical Hierarchy Processmentioning

confidence: 99%

Change Detection and Gis-Based Fuzzy Ahp to Evaluate the Degradation and Reclamation Land of Tikrit City, Iraq

Shareef

Ameen

Ajaj

2021

Geodesy and Cartography

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LULC factors in Tikrit city (Iraq) and the neighboring municipalities are studied among 1989, 2002 and 2015 using various techniques of remote sensing, geographical information system (GIS), and fuzzy analytical hierarchy process (FAHP). Satellite imagery with GIS helped to assess the standard LULC changes in the long term period. FAHP permitted estimating the importance of various LULC by determination of the suitable weight for used factors and then producing the evaluating models. Using different techniques, two models were created (1) to estimate the degradation of the land (2) is generated to determine the reclamation of the area. The finding reveals that the a overall accuracy of 97.0939%, 98.9199% and 99.5817% or 1989, 2002 and 2015 respectively. The outcomes also revealed that urban, vegetation, and water features area are developed in the long term (1989–2015) about 4.35%, 4.28%, and 1.49%, respectively, while barren area is reduced about 5.57%.The degradation map index showed that the lands strongly debased are these converted from vegetation to barren, followed by moderate to high these changed from water areas to urban, while moderate degradation is noticed of urban transformed to barren soil. Contrary, the reclamation map index illustrated that the lands are powerfully transformed from barren to the vegetation and followed by those converted from barren to the water, while barren transformed to the urban is marked as moderate reclamation. The transformation from urban to vegetation or water was classified as the low and deficient class to evaluate the area. The study is also revealed that the integration of remote sensing and GIS produces a successful method for LULC monitoring and managing the environment.

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Section: Fuzzy Analytical Hierarchy Processmentioning

confidence: 99%

Change Detection and Gis-Based Fuzzy Ahp to Evaluate the Degradation and Reclamation Land of Tikrit City, Iraq

Shareef

Ameen

Ajaj

2021

Geodesy and Cartography

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“…The main concept is that a certain degree of an element belongs to a fuzzy membership set. The membership degrees range from 0 (completely not belonging) to 1 (completely belonging) [36].…”

Section: Overview Of the Mamca Frameworkmentioning

confidence: 99%

A Stakeholder-Based Evaluation of the Most Suitable and Sustainable Delivery Fleet for Freight Consolidation Policies in the Inner-City Area

Aljohani

Thompson

2018

Sustainability

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Freight carriers, receivers and citizens in the inner-city area suffer the most from issues impacting last mile delivery due to exacerbated traffic congestion, limited parking and unsustainable delivery vehicles. Freight consolidation policies offer a sustainable solution to address these problems. The freight vehicles used in the consolidated deliveries could play a significant role in the sustainability and success of these policies. This paper applies a multi-stakeholder decision support approach to evaluate the suitability and potential of various delivery fleet configurations in addressing the perspectives and requirements of all stakeholders involved in last mile delivery to perform the consolidated delivery in the inner-city area. The Multi-Actor Multi-Criteria Analysis (MAMCA) framework was utilised to assess and rank various delivery configurations involving a combination of eco-friendly delivery vans, trucks and cargobikes based on the objectives of the stakeholders. The weight allocation of the criteria was determined through the Fuzzy Analytic Hierarchy Process (F-AHP) method using responses collected from key actors representing all stakeholder groups in Melbourne, Australia. The multi-stakeholder analysis, which was performed using the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method, suggested that the consolidated delivery should be performed using a combination of eco-friendly delivery vans and cargobikes to incorporate the concerns of the societal stakeholders and operational requirements of the business stakeholders. The mono-actor analysis revealed the heterogeneity of the stakeholders’ preferences and clashing views regarding the optimal delivery fleet. This highlights the importance of incorporating a multi-stakeholder perspective in the planning and selection of suitable urban freight policies. Accordingly, a suitable implementation plan for the consolidated delivery fleet was proposed to reflect the perspectives and requirements of these stakeholders.

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“…As an alternative to the use of the decision matrix, methods based on the dominant eigenvalue (Zamani‐Sabzi, King, Gard, & Abudu, ; Deng, Hu, Deng, & Mahadevan, ) could be used to compute weights. The reader is referred also to Shang, Zhang, and Cao (), where several alternative methods to find weights are described.…”

Section: Case Studymentioning

confidence: 99%

Engineering optimization based on dynamic technique for order preference by similarity to ideal solution fitness: Application to unmanned aerial vehicle wing airfoil geometry definition

Ceruti

Fiorini

Boggi³

et al. 2018

Multi Criteria Decision Anal

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Modern engineering requires finding an optimal trade‐off point among conflicting requirements that must be satisfied to reach the end user's satisfaction. One of the most challenging problems in multidisciplinary optimization is to find a fitness function that can best translate what the designer really aims to obtain. In this paper, a particle swarm optimization (PSO) algorithm is coupled to a fitness function based on the definition of a technique for order preference by similarity to ideal solution (TOPSIS) in order to obtain a new algorithm called PSOTOP. The fitness of a candidate solution is found by comparing its attributes to those of an “ideal best” and “ideal worst” solution, which is dynamically updated at each iteration of the algorithm. The advantage of this solution is that the fitness allows combining attributes of different magnitude and measurement units in an effective way; this approach can be applied to whatsoever optimization problem in engineering, economics, medicine, and statistics. This paper presents a case study dealing with the optimal design of an airfoil to be adopted on the wing of an unmanned air vehicle to support civil protection operations in order to show how this strategy can impact the design of a complex product. The main limitation of this approach relates to the fact that the user must possess a good knowledge of the specific problem to be solved in order to set proper ranges for design parameters and attributes' weight in the fitness evaluation.

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Statistical and analytical comparison of multi-criteria decision-making techniques under fuzzy environment

Cited by 72 publications

References 29 publications

Change Detection and Gis-Based Fuzzy Ahp to Evaluate the Degradation and Reclamation Land of Tikrit City, Iraq

Change Detection and Gis-Based Fuzzy Ahp to Evaluate the Degradation and Reclamation Land of Tikrit City, Iraq

A Stakeholder-Based Evaluation of the Most Suitable and Sustainable Delivery Fleet for Freight Consolidation Policies in the Inner-City Area

Engineering optimization based on dynamic technique for order preference by similarity to ideal solution fitness: Application to unmanned aerial vehicle wing airfoil geometry definition

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