Decision Making on Firm’s Software Selection with Type-2 Fuzzy Data

This paper discusses the construction of a type-2 fuzzy B-spline model to model complex uncertainty of surface data. To construct this model, the type-2 fuzzy set theory, which includes type-2 fuzzy number concepts and type-2 fuzzy relation, is used to define the complex uncertainty of surface data in type-2 fuzzy data/control points. These type-2 fuzzy data/control points are blended with the B-spline surface function to produce the proposed model, which can be visualized and analyzed further. Various processes, namely fuzzification, type-reduction and defuzzification are defined to achieve a crisp, type-2 fuzzy B-spline surface, representing uncertainty complex surface data. This paper ends with a numerical example of terrain modeling, which shows the effectiveness of handling the uncertainty complex data.

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Attenuation of COVID-19-induced cytokine storm in a young male patient with severe respiratory and neurological symptoms

Wiener klinische Wochenschrift ◽

10.1007/s00508-021-01867-2 ◽

2021 ◽

Author(s):

Christian Muschitz ◽

Anita Trummert ◽

Theresa Berent ◽

Norbert Laimer ◽

Lukas Knoblich ◽

...

Keyword(s):

Decision Making ◽

Male Patient ◽

Young Male ◽

Standard Of Care ◽

Multiple Organ ◽

Cytokine Storm ◽

Invasive Ventilation ◽

Organ Systems ◽

The Central Nervous System

SummarySevere acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), the etiological agent of coronavirus disease 2019 (COVID-19), produces protean manifestations and causes indiscriminate havoc in multiple organ systems. This rapid and vast production of proinflammatory cytokines contributes to a condition termed cytokine storm. A 35-year-old, otherwise healthy, employed, male patient was tested positive for COVID-19. He was admitted to the hospital on disease day 10 due to retarded verbal reactions and progressive delirium. On account of these conditions and the need for noninvasive/invasive ventilation, a combination treatment with baricitinib and remdesivir in conjunction with standard of care was initiated. The cytokine storm was rapidly blocked, leading to a vast pulmonary recovery with retarded recovery of the central nervous system. We conclude that the rapid blockade of the COVID-19-induced cytokine storm should be considered of avail as a principle of careful decision-making for effective recovery.

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Shared decision making and patient-centeredness for patients with poorly controlled type 2 diabetes mellitus in primary care—results of the cluster-randomised controlled DEBATE trial

BMC Family Practice ◽

10.1186/s12875-021-01436-6 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Anja Wollny ◽

Christin Löffler ◽

Eva Drewelow ◽

Attila Altiner ◽

Christian Helbig ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Decision Making ◽

Type 2 Diabetes Mellitus ◽

Shared Decision Making ◽

Intervention Group ◽

Control Group ◽

Shared Decision ◽

Patient Centeredness

Abstract Background We investigate whether an educational intervention of GPs increases patient-centeredness and perceived shared decision making in the treatment of patients with poorly controlled type 2 diabetes mellitus? Methods We performed a cluster-randomized controlled trial in German primary care. Patients with type 2 diabetes mellitus defined as HbA1c levels ≥ 8.0% (64 mmol/mol) at the time of recruitment (n = 833) from general practitioners (n = 108) were included. Outcome measures included subjective shared decision making (SDM-Q-9; scale from 0 to 45 (high)) and patient-centeredness (PACIC-D; scale from 1 to 5 (high)) as secondary outcomes. Data collection was performed before intervention (baseline, T0), at 6 months (T1), at 12 months (T2), at 18 months (T3), and at 24 months (T4) after baseline. Results Subjective shared decision making decreased in both groups during the course of the study (intervention group: -3.17 between T0 and T4 (95% CI: -4.66, -1.69; p < 0.0001) control group: -2.80 (95% CI: -4.30, -1.30; p = 0.0003)). There were no significant differences between the two groups (-0.37; 95% CI: -2.20, 1.45; p = 0.6847). The intervention's impact on patient-centeredness was minor. Values increased in both groups, but the increase was not statistically significant, nor was the difference between the groups. Conclusions The intervention did not increase patient perceived subjective shared decision making and patient-centeredness in the intervention group as compared to the control group. Effects in both groups might be partially attributed to the Hawthorne-effect. Future trials should focus on patient-based intervention elements to investigate effects on shared decision making and patient-centeredness. Trial registration The trial was registered on March 10th, 2011 at ISRCTN registry under the reference ISRCTN70713571.

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Representing a probabilistic linguistic term set with an interval type-2 fuzzy set and the application in green supplier selection

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-202386 ◽

2021 ◽

pp. 1-18

Author(s):

Le Jiang ◽

Hongbin Liu

Keyword(s):

Decision Making ◽

Membership Function ◽

Fuzzy Set ◽

Supplier Selection ◽

Symbolic Model ◽

Green Supplier Selection ◽

Linguistic Term ◽

Interval Type ◽

Decision Making Model

The use of probabilistic linguistic term sets (PLTSs) means the process of computing with words. The existing methods computing with PLTSs mainly use symbolic model. To provide a semantic model for computing with PLTSs, we propose to represent a PLTS by using an interval type-2 fuzzy set (IT2FS). The key step is to compute the footprint of uncertainty of the IT2FS. To this aim, the upper membership function is computed by aggregating the membership functions of the linguistic terms contained in the PLTS, and the lower membership function is obtained by moving the upper membership function downward with the step being total entropy of the PLTS. The comparison rules, some operations, and an aggregation operator for PLTSs are introduced. Based on the proposed method of computing with PLTSs, a multi-criteria group decision making model is introduced. The proposed decision making model is then applied in green supplier selection problem to show its feasibility.

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Regional energy internet project investment decision making framework through interval type-2 fuzzy number based Choquet integral fuzzy synthetic model

Applied Soft Computing ◽

10.1016/j.asoc.2021.107718 ◽

2021 ◽

pp. 107718

Author(s):

Yunna Wu ◽

Ting Zhang ◽

Liqi Yi

Keyword(s):

Decision Making ◽

Fuzzy Number ◽

Choquet Integral ◽

Investment Decision ◽

Project Investment ◽

Energy Internet ◽

Regional Energy ◽

Investment Decision Making ◽

Interval Type

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An interval type-2 hesitant fuzzy best-worst method

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-202801 ◽

2021 ◽

pp. 1-28

Author(s):

Ashraf Norouzi ◽

Hossein Razavi hajiagha

Keyword(s):

Decision Making ◽

Fuzzy Sets ◽

Group Decision Making ◽

Group Decision ◽

Fuzzy Ahp ◽

Uncertain Data ◽

Interval Type ◽

Best Worst Method

Multi criteria decision-making problems are usually encounter implicit, vague and uncertain data. Interval type-2 fuzzy sets (IT2FS) are widely used to develop various MCDM techniques especially for cases with uncertain linguistic approximation. However, there are few researches that extend IT2FS-based MCDM techniques into qualitative and group decision-making environment. The present study aims to adopt a combination of hesitant and interval type-2 fuzzy sets to develop an extension of Best-Worst method (BWM). The proposed approach provides a flexible and convenient way to depict the experts’ hesitant opinions especially in group decision-making context through a straightforward procedure. The proposed approach is called IT2HF-BWM. Some numerical case studies from literature have been used to provide illustrations about the feasibility and effectiveness of our proposed approach. Besides, a comparative analysis with an interval type-2 fuzzy AHP is carried out to evaluate the results of our proposed approach. In each case, the consistency ratio was calculated to determine the reliability of results. The findings imply that the proposed approach not only provides acceptable results but also outperforms the traditional BWM and its type-1 fuzzy extension.

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