RETRACTED: The role of single valued neutrosophic sets and rough sets in smart city: Imperfect and incomplete information systems

Abdel‐Basset, Mohamed; Mohamed, Mai

doi:10.1016/j.measurement.2018.04.001

Cited by 77 publications

(25 citation statements)

References 38 publications

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“…The neutrosophic set is an extension of Atanassov intuitionistic fuzzy set, where the membership and non-membership of an element in a group is defined as a number between 0 and 1. Neutrosophic set added another step further by examining the membership, the indeterminacy membership and the non-membership of an element of a given set as a number (0-1) [8]. Compared to Atanassov intuitionistic fuzzy set, the neutrosophic set is very effective in dealing with incomplete information and vague data.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Evaluation of the green supply chain management practices: A novel neutrosophic approach

Abdel-Baset

Chang

Gamal

2019

Computers in Industry

122

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A B S T R A C TTo attain competitive advantages and promote environmental performance, a proactive approach called green supply chain management (GSCM), has been extensively employed. In this paper, we use the robust ranking technique with neutrosophic set to handle practices and performances in GSCM. We evaluate GSCM practices using the robust ranking technique in order to detect practices leading to better economic and environmental performances. We employ the neutrosophic set theory to handle vague data, imprecise knowledge, incomplete information and linguistic imprecision. The efficiency of the proposed method is evaluated by using the first case study from petroleum industry in Egypt and the second case study from manufacturing firm in China. The results display that "reverse logistics", "supplier environmental collaboration", "carbon management" are the significant in GSCM practices. Both case studies verified that our proposal could be adopted for effectiveness and improvement. Our work could help managers and decision makers to become more environmentally responsible.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: Evaluation of the green supply chain management practices: A novel neutrosophic approach

Abdel-Baset

Chang

Gamal

2019

Computers in Industry

122

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“…Definition 1. [33,34] The neutrosophic set N is characterized by three membership functions, which are the truth-membership function T Ne (x), indeterminacy-membership function I Ne (x) and falsity-membership function F Ne (x), where x ∈ X and X are a space of points. Also, T Ne Definition 3.…”

Section: Definition Of a Neutrosophic Setmentioning

confidence: 99%

“…[34,36] Let a = (a 1 , a 2 , a 3 ); α a , θ a , β a and b = (b 1 , b 2 , b 3 ); α a , θ a , β a be two single-valued triangular neutrosophic numbers and γ = 0 be any real number. Then:…”

Section: Definition Of a Neutrosophic Setmentioning

confidence: 99%

An Extension of Neutrosophic AHP–SWOT Analysis for Strategic Planning and Decision-Making

2018

Self Cite

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Every organization seeks to set strategies for its development and growth and to do this, it must take into account the factors that affect its success or failure. The most widely used technique in strategic planning is SWOT analysis. SWOT examines strengths (S), weaknesses (W), opportunities (O) and threats (T), to select and implement the best strategy to achieve organizational goals. The chosen strategy should harness the advantages of strengths and opportunities, handle weaknesses, and avoid or mitigate threats. SWOT analysis does not quantify factors (i.e., strengths, weaknesses, opportunities and threats) and it fails to rank available alternatives. To overcome this drawback, we integrated it with the analytic hierarchy process (AHP). The AHP is able to determine both quantitative and the qualitative elements by weighting and ranking them via comparison matrices. Due to the vague and inconsistent information that exists in the real world, we applied the proposed model in a neutrosophic environment. A real case study of Starbucks Company was presented to validate our model.

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“…To handle MAGDM information fusion and analysis with IN information effectively, GrC-based approaches own unique superiorities in constructing problem addressing approaches via multi-view problem solving tactics [23,24]. During the past several years, taking full advantage of GrC-based approaches, many scholars and practitioners have obtained fruitful results in merging NSs with rough sets [25][26][27][28][29][30][31][32], formal concept analysis [33,34], three-way decisions [35][36][37], and others [38,39]. In the current article, we plan to propose a new IN MAGDM method via multigranulation probabilistic models, which can provide a risk-based information synthesis scheme with the capability of error tolerance in light of GrC-based approaches.…”

Section: A Brief Review Of Multigranulation Probabilistic Modelsmentioning

confidence: 99%

Multi-Attribute Group Decision Making Based on Multigranulation Probabilistic Models with Interval-Valued Neutrosophic Information

Zhang

Kang

et al. 2020

Mathematics

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In plenty of realistic situations, multi-attribute group decision-making (MAGDM) is ubiquitous and significant in daily activities of individuals and organizations. Among diverse tools for coping with MAGDM, granular computing-based approaches constitute a series of viable and efficient theories by means of multi-view problem solving strategies. In this paper, in order to handle MAGDM issues with interval-valued neutrosophic (IN) information, we adopt one of the granular computing (GrC)-based approaches, known as multigranulation probabilistic models, to address IN MAGDM problems. More specifically, after revisiting the related fundamental knowledge, three types of IN multigranulation probabilistic models are designed at first. Then, some key properties of the developed theoretical models are explored. Afterwards, a MAGDM algorithm for merger and acquisition target selections (M&A TSs) with IN information is summed up. Finally, a real-life case study together with several detailed discussions is investigated to present the validity of the developed models.

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RETRACTED: The role of single valued neutrosophic sets and rough sets in smart city: Imperfect and incomplete information systems

Cited by 77 publications

References 38 publications

RETRACTED: Evaluation of the green supply chain management practices: A novel neutrosophic approach

RETRACTED: Evaluation of the green supply chain management practices: A novel neutrosophic approach

An Extension of Neutrosophic AHP–SWOT Analysis for Strategic Planning and Decision-Making

Multi-Attribute Group Decision Making Based on Multigranulation Probabilistic Models with Interval-Valued Neutrosophic Information

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