Encoding Words Into Interval Type-2 Fuzzy Sets Using an Interval Approach

Liu, Feilong; Mendel, Jerry M.

doi:10.1109/tfuzz.2008.2005002

Cited by 311 publications

(160 citation statements)

References 29 publications

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“…7: Fuzzy set E generated from 4 intervals ratio when comparing γ(E) to γ(D). Calculations using (6) and (7) are shown below: In our previous work [10], we described a process of interval-valued data collection from different groups of people involved in assessment of function following sarcoma surgery, namely: Patients, Physiotherapists, Surgeons and a fourth one created from the combined responses from both Physiotherapists and Surgeons (PS) which together represent the body of "medical professionals".…”

Section: Synthetic Example 1 Using Iaa Generated Fsmentioning

confidence: 99%

“…Surveying groups of people enables the capture of uncertainty through intervals on areas of interest, which is an important resource for capturing the variations of perceptions among those surveyed. A number of methods have been developed in order to capture stakeholder perceptions of words/concepts expressed through interval-based surveys, including [4], [5], [6]. Basically, they rely on allowing participants to express their uncertainty about a given response by providing an interval.…”

Section: Introductionmentioning

confidence: 99%

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Measuring agreement on linguistic expressions in medical treatment scenarios

Navarroa

Wagnerab

Aickelin

et al. 2016

2016 IEEE Symposium Series on Computational Intelligence (SSCI)

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Abstract-Quality of life assessment represents a key process of deciding treatment success and viability. As such, patients' perceptions of their functional status and well-being are important inputs for impairment assessment. Given that patient completed questionnaires are often used to assess patient status and determine future treatment options, it is important to know the level of agreement of the words used by patients and different groups of medical professionals. In this paper, we propose a measure called the Agreement Ratio which provides a ratio of overall agreement when modelling words through Fuzzy Sets (FSs). The measure has been specifically designed for assessing this agreement in fuzzy sets which are generated from data such as patient responses. The measure relies on using the Jaccard Similarity Measure for comparing the different levels of agreement in the FSs generated. Synthetic examples are provided in order to show how to calculate the measure for given Fuzzy Sets. An application to real-world data is provided as well as a discussion about the results and the potential of the proposed measure.

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Section: Synthetic Example 1 Using Iaa Generated Fsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Measuring agreement on linguistic expressions in medical treatment scenarios

Navarroa

Wagnerab

Aickelin

et al. 2016

2016 IEEE Symposium Series on Computational Intelligence (SSCI)

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“…We use TSK method (Takagi, Sugeno, and Kang) for inferencing process. The selection of the model because it has a lower level of complexity than the other T2FS without reducing the result performance [13], [18], [12].…”

Section: It2fsmentioning

confidence: 99%

AN IT2FS MODEL FOR SHARIA CREDIT SCORING: ANALYSIS & DESIGN

Sidik

Djatna

Buono

2014

Jurnal Sistem Informasi

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Credit scoring system is a classic problem which is still interesting to study. There are many studies on credit scoring. But, most of them only discuss feasibility analysis. In fact, credit scoring system should accommodate all processes from feasibility analysis until the end of contract. This study is aimed to analyze and design scoring of default status and fines computation processes in Islamic bank. BPMN 2.0 was used to model their processes. Beside that, this study proposed new mechanisms and algorithms using Interval Type-2 Fuzzy Sets for maintaining Sharia rules and fairness guarantee. The results showed that the new methods offer more fair and comply to sharia than existing methods. Keywords : information system, credit scoring, bank sharia, economy AbstrakSistem penilaian kredit merupakan masalah klasik yang masih menarik untuk dikaji. Terdapat banyak studi tentang penilaian kredit. Namun, kebanyakan hanya membahas analisis kelayakan. Bahkan, sistem penilaian kredit harus mengakomodasi semua proses dari analisis kelayakan sampai akhir kontrak. Penelitian ini bertujuan untuk menganalisis dan desain scoring status default dan proses perhitungan denda di bank syariah. BPMN 2.0 digunakan untuk memodelkan proses tersebut. Selain itu, penelitian ini mengusulkan mekanisme baru dan algoritma menggunakan Interval Type-2 Fuzzy Set untuk menjaga aturan Syariah dan jaminan keadilan. Hasil penelitian menunjukkan bahwa metode baru menawarkan keadilan lebih baik dan mematuhi syariah dibandingkan metode yang ada.Kata Kunci: sistem informasi, credit scoring, bank syariah, ekonomi

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“…As part of this recent interest, modelling the subjective meaning of words and perceptions of people has been investigated and a number of techniques have been proposed, such as the Interval Approach (IA) [3], the Enhanced Interval Approach (EIA) [4], [5], and the Interval Agreement Approach (IAA) [6]. Such techniques allow the creation of FS models (from data) for words and/or concepts in order to subsequently perform computation and reasoning.…”

Section: Introductionmentioning

confidence: 99%

Exploring differences in interpretation of words essential in medical expert-patient communication

Navarro

Wagner

Aickelin

et al. 2016

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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Abstract-In the context of cancer treatment and surgery, quality of life assessment is a crucial part of determining treatment success and viability. In order to assess it, patientcompleted questionnaires which employ words to capture aspects of patients well-being are the norm. As the results of these questionnaires are often used to assess patient progress and to determine future treatment options, it is important to establish that the words used are interpreted in the same way by both patients and medical professionals. In this paper, we capture and model patients perceptions and associated uncertainty about the words used to describe the level of their physical function used in the highly common (in Sarcoma Services) Toronto Extremity Salvage Score (TESS) questionnaire. The paper provides detail about the interval-valued data capture as well as the subsequent modelling of the data using fuzzy sets. Based on an initial sample of participants, we use Jaccard similarity on the resulting words models to show that there may be considerable differences in the interpretation of commonly used questionnaire terms, thus presenting a very real risk of miscommunication between patients and medical professionals as well as within the group of medical professionals.

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Encoding Words Into Interval Type-2 Fuzzy Sets Using an Interval Approach

Cited by 311 publications

References 29 publications

Measuring agreement on linguistic expressions in medical treatment scenarios

Measuring agreement on linguistic expressions in medical treatment scenarios

AN IT2FS MODEL FOR SHARIA CREDIT SCORING: ANALYSIS & DESIGN

Exploring differences in interpretation of words essential in medical expert-patient communication

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