Allocation with multi criteria decision making techniques

Prior to entering the workforce, engineering students are expected to be highly skilled and contribute to decision-making with confidence in their abilities. Despite this, most students are lacking in these areas. Engineering students typically have a hard time finding work because they lack the necessary skills and are unable to take decisions with confidence. Accordingly, the Washington accord created job-ready features for engineering students that contain core knowledge and design (FKD), project management and finance (PMF), communication (C), modern tool use (MTU), teamwork (TW), engineers’ society and environment (ESE), ethics (E), and lifetime learning (LL). Work readiness (WR) literature will be examined in this study in an effort to promote decision-making self-efficacy (DMSE), which in turn leads to more successful career exploration (CE). Career discovery is then examined as a two-step process, with work readiness influencing decision-making self-efficacy and decision-making self-efficacy influencing career exploration. Malaysian private engineering universities were surveyed using a quantitative way to acquire the data. Results found a strong correlation between work readiness and decision-making self-efficacy, according to scientific evidence. Decision-making self-efficacy was also found to have a significant impact on career exploration. This study is to be useful to curtail unemployment by adopting the required skill set, which will help universities to produce engineers who are able to contribute to decision making with confidence towards exploring their careers. Overall, the results of this study might provide significant information to the related institutions and policymakers on the scarcity of decision-making of talented engineering students in Malaysia.

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“…Decision-making self-efcacy has a strong correlation with lifelong learning. Klug, et al agreed with the conclusion [76][77][78].…”

Section: Resultsmentioning

confidence: 66%

Work Readiness, Decision‐Making Self‐Efficacy, and Career Exploration among Engineering Students: A Two‐Step Framework

Makki

Feng

Waqar

et al. 2023

Mathematical Problems in Engineering

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“…An essential subfield of MADM research, MAGDM entails a group of DMs evaluating alternatives based on multiple competing attributes for ranking all the alternatives or choosing the most suitable one. Recent articles on MAGDM have emphasized methodological techniques for ambiguous situations in general (Ozcalici, 2022 ; Ashouri et al, 2023 ; Colombo et al, 2023 ; Kiptum et al, 2023 ; Lazarashouri and Najafi, 2024 ). Due to the severity of MAGDM challenges, it is difficult for DMs to collect all possible alternative information.…”

Section: Methodsmentioning

confidence: 99%

Enhancing breast cancer treatment selection through 2TLIVq-ROFS-based multi-attribute group decision making

Rasheed,

Mahboob,

Mustafa

et al. 2024

Front. Artif. Intell.

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IntroductionBreast cancer is an extremely common and potentially fatal illness that impacts millions of women worldwide. Multiple criteria and inclinations must be taken into account when selecting the optimal treatment option for each patient.MethodsThe selection of breast cancer treatments can be modeled as a multi-attribute group decision-making (MAGDM) problem, in which a group of experts evaluate and rank alternative treatments based on multiple attributes. MAGDM methods can aid in enhancing the quality and efficacy of breast cancer treatment selection decisions. For this purpose, we introduce the concept of a 2-tuple linguistic interval-valued q-rung orthopair fuzzy set (2TLIVq-ROFS), a new development in fuzzy set theory that incorporates the characteristics of interval-valued q-rung orthopair fuzzy set (IVq-ROFS) and 2-tuple linguistic terms. It can express the quantitative and qualitative aspects of uncertain information, as well as the decision-makers' level of satisfaction and dissatisfaction.ResultsThen, the 2TLIVq-ROF weighted average (2TLIVq-ROFWA) operator and the 2TLIVq-ROF weighted geometric (2TLIVq-ROFWJ) operator are introduced as two new aggregation operators. In addition, the multi-attribute border approximation area comparison (MABAC) method is extended to solve the MAGDM problem with 2TLIVq-ROF information.DiscussionTo demonstrate the efficacy and applicability of the suggested model, a case study of selecting the optimal breast cancer treatment is presented. The results of the computations show that the suggested MAGDM model is able to handle imprecision and subjectivity in complicated decision-making scenarios and opens new research scenarios for scholars.

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“…There are also studies in which the methods are not used together and are applied in different areas. CILOS method has also applied in portfolio optimization (business economics) [34] and sustainable evaluation of aerosol pollution decrease (environmental studies) [35]. IDOCRIW method has been used in product ranking based on online customer reviews (business economics) [36] and environmental studies, such as assessment of different cladding materials for growing bell pepper [37], construction and demolition waste management [38], planning the future energy systems [39], and environmental impact evaluation to minimize dam negative impacts [40].…”

Section: Application Areasmentioning

confidence: 99%

“…MEREC has found diverse applications across fields, encompassing business economics and environmental studies; however, its principal employment has been within the domain of engineering. Applications in the field of business economics are as follows: the financial performance of the hospitality and tourism industries [121], efficiency and productivity of commercial banks [122], evaluation of economic freedom levels of OPEC countries [123], assessment of distribution center locations [124] sustainable smart manufacturing systems for industry 4.0 in small, medium, and micro enterprises [125], portfolio optimization [34], and supplier selection [126]. The following are the applications in the area of environmental studies: mitigating climate change effects of urban transportation [127], identifying the optimal renewable energy power plant location [128], selecting a green renewable energy source [129], selecting offshore wind turbine [130], offshore wind farm site selection [131], circular economy paradigm in European Union countries (environmental economics) [132], and efficiency evaluation of the mineral deposit [133].…”

Section: Application Areasmentioning

confidence: 99%

“…Fuzzy AHP [28,159], AHP [159], CRITIC [160], and WEBIRA [33] methods are also applied with CILOS and IDOCRIW. For the ranking methods, CILOS and IDOCRIW methods have been applied together with COPRAS, SAW, TOPSIS, and EDAS [28][29][30][31][32]34,159] in many studies. CILOS and IDOCRIW methods are also applied with cluster analysis [33], the rank average method, Borda count and Copeland's method [30].…”

Section: Hybrid Studiesmentioning

confidence: 99%

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A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making

2023

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In the realm of multi-criteria decision-making (MCDM) problems, the selection of a weighting method holds a critical role. Researchers from diverse fields have consistently employed MCDM techniques, utilizing both traditional and novel methods to enhance the discipline. Acknowledging the significance of staying abreast of such methodological developments, this study endeavors to contribute to the field through a comprehensive review of several novel weighting-based methods: CILOS, IDOCRIW, FUCOM, LBWA, SAPEVO-M, and MEREC. Each method is scrutinized in terms of its characteristics and steps while also drawing upon publications extracted from the Web of Science (WoS) and Scopus databases. Through bibliometric and content analyses, this study delves into the trend, research components (sources, authors, countries, and affiliations), application areas, fuzzy implementations, hybrid studies (use of other weighting and/or ranking methods), and application tools for these methods. The findings of this review offer an insightful portrayal of the applications of each novel weighting method, thereby contributing valuable knowledge for researchers and practitioners within the field of MCDM.

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Allocation with multi criteria decision making techniques

Cited by 10 publications

References 28 publications

Work Readiness, Decision‐Making Self‐Efficacy, and Career Exploration among Engineering Students: A Two‐Step Framework

Work Readiness, Decision‐Making Self‐Efficacy, and Career Exploration among Engineering Students: A Two‐Step Framework

Enhancing breast cancer treatment selection through 2TLIVq-ROFS-based multi-attribute group decision making

A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making

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