Evaluation of the Special Warehouse Handling Equipment (Turret Trucks) Using Integrated FUCOM and WASPAS Techniques Based on Intuitionistic Fuzzy Dombi Aggregation Operators

Zolfani, Sarfaraz Hashemkhani; Görçün, Ömer Faruk; Küçükönder, Hande

doi:10.1007/s13369-023-07615-0

Cited by 16 publications

(16 citation statements)

References 121 publications

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“…Then, the IFN-CSM-CoCoSo is randomly compared with IFWA [ 89 ] and IFWG [ 84 ], DGIFWBM [ 90 ], IF-COPRAS [ 91 ], IF-TODIM [ 92 ], IF-PROMETHEE [ 93 ] and IF-FUCOM-WASPAS [ 94 ]. The comparative results are built in Table 14 .…”

Section: Numerical Example and Comparative Analysismentioning

confidence: 99%

“…In light with WS coefficients [ 95 , 96 ], the WS coefficient between IFWA [ 89 ], IFWG [ 84 ], DGIFWBM [ 90 ], IF-COPRAS [ 91 ], IF-TODIM [ 92 ], IF-PROMETHEE [ 93 ], IF-FUCOM-WASPAS [ 94 ] and the IFN-CSM-CoCoSo technique is 1.0000, 0.7917, 1.0000, 1.0000, 0.7917, 1.0000, 1.0000. This verifies the IFN-CSM-CoCoSo technique is effective.…”

Section: Numerical Example and Comparative Analysismentioning

confidence: 99%

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A novel IFN-CSM-CoCoSo approach for multiple-attribute group decision-making with intuitionistic fuzzy sets: An application in assessing corporate social responsibility performance

Nie

2024

Heliyon

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Section: Numerical Example and Comparative Analysismentioning

confidence: 99%

Section: Numerical Example and Comparative Analysismentioning

confidence: 99%

A novel IFN-CSM-CoCoSo approach for multiple-attribute group decision-making with intuitionistic fuzzy sets: An application in assessing corporate social responsibility performance

Nie

2024

Heliyon

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“…As a result, forklifts are being replaced by AGVs, which have been developed specifically for transporting large loads. AGVs were largely employed as an alternative to driverless transportation [5,6]. The total annual expenses for performing responsibilities carried out by two forklifts with operators who can replace five AGVs are displayed in Figure 2, which illustrates the financial advantages of adopting AGVs [7].…”

Section: Materials Handling In Traditional Industrial Processesmentioning

confidence: 99%

“…AGVs move along a predetermined and pre-marked route on the floor. The yellow part where the vehicles move must be perfectly clean and without damage so that the vehicles can move without stopping [6,7]. This enables complete vehicle autonomy when moving.…”

Section: Materials Handling In Traditional Industrial Processesmentioning

confidence: 99%

Benefits and Challenges of Implementing Autonomous Technology for Sustainable Material Handling in Industrial Processes

Dabic-Miletic

2024

JII

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The transition from traditional production activities to a manufacturing-dominated economy has been a hallmark of industrial evolution, culminating in the advent of the fourth industrial revolution. This phase is characterized by the seamless integration of digital advancements across all sectors of global industry, heralding significant strides in meeting the evolving demands of markets and consumers. The concept of the smart factory stands at the forefront of this transformation, embedding sustainability, which is defined as economic viability, environmental stewardship, and social responsibility, into its core principles. This research focuses on the critical role of autonomous material handling technologies within these smart manufacturing environments, emphasizing their contribution to enhancing industrial productivity. The automation of material handling, propelled by the exigencies of reducing material damage, minimizing human intervention in repetitive tasks, and mitigating errors and service delays, is increasingly viewed as indispensable for achieving sustainable industrial operations. The employment of artificial intelligence (AI) in material handling not only offers substantial benefits in terms of operational efficiency and sustainability but also introduces specific challenges that must be navigated to align with the smart factory paradigm. By examining the integration of autonomous material handling solutions, traditionally epitomized by the utilization of forklifts in industrial settings, this study delineates the essential benchmarks for their implementation, ensuring compatibility with the overarching objectives of smart manufacturing systems. Through this lens, the paper articulates the dual imperative of aligning material handling technologies with environmental and social sustainability criteria, while also ensuring their economic feasibility.

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“…The WASPAS method has been applied to multi-attribute decision-making research because of its advantage of being able to evaluate the target object more accurately. At present, the WASPAS method has been applied in a variety of fuzzy decision-making environments, such as intuitionistic [44], Pythagorean [45], q-rung orthopair [46], picture [47], and two-tuple linguistic Fermatean fuzzy environment [48], which has a wide range of application prospects. However, no relevant research extends to the linguistic environment.…”

Section: Introductionmentioning

confidence: 99%

Advanced Linguistic Complex T-Spherical Fuzzy Dombi-Weighted Power-Partitioned Heronian Mean Operator and Its Application for Emergency Information Quality Assessment

Zang,

Zhao,

Jiang

et al. 2024

Sustainability

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Against the background of a major change in the world unseen in a century, emergencies with high complexity and uncertainty have had serious impacts on economic security and sustainable social development, making emergency management an important issue that needs to be urgently resolved, and the quality assessment of emergency information is a key link in emergency management. To effectively deal with the uncertainty of emergency information quality assessment, a new fuzzy multi-attribute assessment method is proposed in this paper. First, we propose the linguistic complex T-spherical fuzzy set (LCT-SFS), which can deal with two-dimensional problems and cope with situations in which assessment experts cannot give quantitative assessments. Then, the advanced linguistic complex T-spherical fuzzy Dombi-weighted power-partitioned Heronian mean (ALCT-SFDWPPHM) operator, which incorporates the flexibility of Dombi operations, is proposed. The partitioned Heronian mean (PHM) operator can consider attribute partitioning and attribute correlation, the power average (PA) operator can eliminate the effect of evaluation singularities, and the advanced operator can circumvent the problem of consistent or indistinguishable aggregation results, which provides a strong comprehensive advantage in the evaluating information aggregation. Finally, a fuzzy multi-attribute assessment model is constructed by combining the proposed operator with the WASPAS method and applied to the problem of assessing the quality and sensitivity of emergency information; qualitative and quantitative comparison analyses are carried out. The results show the method proposed in this paper has strong feasibility and validity and can represent uncertainty assessment more flexibly while providing reasonable and reliable results. The method can provide new ideas and methods for the quality assessment of emergency information, and promoting sustainable, efficient, and high-quality development of emergency management.

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Evaluation of the Special Warehouse Handling Equipment (Turret Trucks) Using Integrated FUCOM and WASPAS Techniques Based on Intuitionistic Fuzzy Dombi Aggregation Operators

Cited by 16 publications

References 121 publications

A novel IFN-CSM-CoCoSo approach for multiple-attribute group decision-making with intuitionistic fuzzy sets: An application in assessing corporate social responsibility performance

A novel IFN-CSM-CoCoSo approach for multiple-attribute group decision-making with intuitionistic fuzzy sets: An application in assessing corporate social responsibility performance

Benefits and Challenges of Implementing Autonomous Technology for Sustainable Material Handling in Industrial Processes

Advanced Linguistic Complex T-Spherical Fuzzy Dombi-Weighted Power-Partitioned Heronian Mean Operator and Its Application for Emergency Information Quality Assessment

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