Applying Intuitionistic Fuzzy Approach to Reduce Search Domain in an Accidental Case

Ahmad, Yasir; Husain, Sadia; Alam, Afshar

doi:10.14569/ijacsa.2010.010412

Cited by 9 publications

(6 citation statements)

References 14 publications

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“…Many medical applications use fuzzy logic as CADIAG [11], MILORD [11], DOCTORMOON [12], TxDENT [13], MedFrame/CADIAG-IV [14], FuzzyTempToxopert [14] and MDSS [15].…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Decision Support System for Management of Breast Cancer

Saleh¹,

Barakat²,

Awad³

2011

IJACSA

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Abstract-In the molecular era the management of cancer is no more a plan based on simple guidelines. Clinical findings, tumor characteristics, and molecular markers are integrated to identify different risk categories, based on which treatment is planned for each individual case. This paper aims at developing a fuzzy decision support system (DSS) to guide the doctors for the risk stratification of breast cancer, which is expected to have a great impact on treatment decision and to minimize individual variations in selecting the optimal treatment for a particular case. The developed system was based on clinical practice of Oncology Center Mansoura University (OCMU) This system has six input variables (Her2, hormone receptors, age, tumor grade, tumor size, and lymph node) and one output variable (risk status). The output variable is a value from 1 to 4; representing low risk status, intermediate risk status and high risk status. This system uses Mamdani inference method and simulation applied in MATLAB R2009b fuzzy logic toolbox.

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“…Many medical applications use fuzzy logic as CADIAG [11], MILORD [11], DOCTORMOON [12], TxDENT [13], MedFrame/CADIAG-IV [14], FuzzyTempToxopert [14] and MDSS [15].…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Decision Support System for Management of Breast Cancer

Saleh¹,

Barakat²,

Awad³

2011

IJACSA

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“…However, this approach cannot identify the source of discordance, such as tacit knowledge or hesitation, as it cannot be addressed by fuzzy logic alone. It requires advanced fuzzy logic such as intuitionistic or neutrosophic fuzzy logic to handle human hesitation, as shown in a study by Ahmad et al in 2010, in which they proposed an approach that is based on intuitionistic fuzzy sets (IFSs) to considerably reduce the domain of ambiguous data while catering to the hesitation ordinarily present in human behavior [32]. Shen et al, in 2016, proposed an outranking sorting method using the IFS for group decisions [33].…”

Section: B Related Workmentioning

confidence: 99%

An Intuitionistic Fuzzy Based Approach to Resolve Detected Ambiguities in the User Requirements Document

et al. 2021

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Ambiguous user requirements are usually considered problematic in software engineering. Therefore, many studies have been conducted on its avoidance and detection. However, the detected ambiguities were resolved manually using interviews, brainstorming, and group discussion sessions among the elicitors and stakeholders for whom the software was developed. If not addressed efficiently, it gives rise to the explicit issues of additional time and cost involved and the stakeholders' availability to clarify them during multiple sessions. However, if appropriately addressed, it can reveal some implicit issues, such as tacit knowledge, hesitation, and terminological discrepancies. Identifying these implicit issues is not easy, as it requires expert elicitation skills that usually come with experience. In addition to the increasing demand for an automated approach to address these implicit issues, the recent COVID 19 pandemics has also amplified the demand to address the explicit issue of stakeholder availability. This paper proposes an implementable semi-automated approach to help elicitors address these demands. The proposed approach uses intuitionistic fuzzy logic to address hesitation and statistical functions to identify discordance and tacit knowledge. It also uses the heuristic knowledge gained in each iteration to improve itself. We implemented it in an online tool and conducted controlled experiments to evaluate our approach, and the results were compared. We achieved precision, recall, and F1 score of 0.769, 1, and 0.869, respectively, during our experiments. The results show that the proposed approach may minimize the explicit issues and help novice elicitors address the implicit issues discussed earlier.

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“…IFS principles, for example, were used by Ashu 31 to locate a salesman of a company who was involved in a misdemeanor notwithstanding the huge database of salesmen in the company. Ahmad et al 32 used the technique to reduce the search domain and to select the culprit in a hit and run accident situation. Ejegwa et al 33 used the IFS principles in the selection of the most appropriate career based on a students' score in an examination at a college.…”

Section: Ifstmentioning

confidence: 99%

“…Other general applications of IFS to real-life situations include the following areas: artificial intelligence, expert systems, neural networks, decision-making, machine learning and semantic representation. 32…”

Section: Literature Reviewmentioning

confidence: 99%

Technique selection and evaluation of ballast water management methods under an intuitionistic fuzzy environment: An information axiom approach

Kuroshi

Ölçer

2016

Proceedings of the Institution of Mechanical Engineers, Part M:

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A recent survey showed the reluctance of shipowners to install ballast water treatment systems onboard their ships. This raised a question on the acceptability of shipboard management of ballast water and the need to investigate the potential of non-shipboard alternatives to managing the menace of invasive species transfer via ships' ballast water. The aim of this article is to investigate the viability of both shipboard and onshore-based concepts of ballast water management with respect to the evaluation criteria stipulated in the Ballast Water Management Convention of the International Maritime Organization. To achieve that, an appropriate decision-making technique was selected using a robust procedure; this is critical in the evaluation and ultimate selection of an appropriate ballast water management method. A multi-criteria decision-making technique known as intuitionistic fuzzy multi-attribute axiomatic design which is a hybridized extension of fuzzy axiomatic design was employed for the selection process. The eventual selected technique was used to evaluate the ballast water management options based on the linguistic data collected from an interview with ballast water management experts. The novel applications of intuitionistic fuzzy multi-attribute axiomatic design in this article for technique selection and subsequently for ballast water management methods' evaluation exemplify not only the versatility of the technique as a decision-making tool but also showed a strong paradigm shift in experts' opinions about the future of ballast water management beyond just the traditional shipboard system.

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Applying Intuitionistic Fuzzy Approach to Reduce Search Domain in an Accidental Case

Cited by 9 publications

References 14 publications

A Fuzzy Decision Support System for Management of Breast Cancer

A Fuzzy Decision Support System for Management of Breast Cancer

An Intuitionistic Fuzzy Based Approach to Resolve Detected Ambiguities in the User Requirements Document

Technique selection and evaluation of ballast water management methods under an intuitionistic fuzzy environment: An information axiom approach

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