Abstract In recent years, the rapid development of medical imaging technology has brought image analysis into era big data. CT is one most common methods for disease screening. This paper introduces lung tumor diagnosis based on Generalized fuzzy c - means clustering algorithm was proposed. Brief introduce to diagnose tumors requires a huge workload, which often accompanied by long-term reading...

This study has developed a production inventory model where the cycle timeis fuzzy, the existence of defective products is assumed in each batch andproduct screening is performed both in-production and after-production.Triangular fuzzy numbers serve to model uncertainties in the cycle time, anda fuzzified total inventory profit function is created by thedefuzzifica...

A method based on cascade fuzzy neural network (CFNN) comprising of a filter module and ranking module is proposed for online voltage contingency screening and ranking under known but uncertain loads. A new fuzzy performance index, which combines voltage violations and voltage stability margin following a contingency, is proposed for effective voltage security ranking. All the selected continge...

The petroleum industry is developing technology to increase oil recovery in reservoirs. One of the technologies used Enhanced Oil Recovery (EOR). Selecting an EOR method for a specific reservoir condition one most challenging tasks engineer. This study tries build fuzzy logic-based screening system determine method. It created intending be able assist selecting and determining appropriate field...

Fuzzy logic techniques are efficient in solving complex, ill-defined problems that are characterized by uncertainty of environment and fuzziness of information. Fuzzy logic allows handling uncertain and imprecise knowledge and provides a powerful framework for reasoning. Fuzzy reasoning models are relevant to a wide variety of subject areas such as engineering, economics, psychology, sociology,...

Purpose This paper investigates the suitability of fuzzy-logic-based support tools for initial screening manufacturing reshoring decisions. Design/methodology/approach Two are developed together with experts from a Swedish firm. The first uses complete rule base and second reduced base. Sixteen inference settings used in both tools. Findings findings show that suitable capable suggesting whethe...

In the medical field, detection of breast cancer may be a mysterious task. Physicians must deduce conclusion from significantly vague knowledge base. A mammogram can offer early diagnosis at low cost if breasts' satisfactory images are analyzed. multi-decision Intuitionistic Fuzzy Evidential Reasoning (IFER) approach is introduced in this paper to deal with imprecise classification efficiently....

Recruitment is an important issue of human resource management (HRM). The main purpose of recruitment is to obtain talent from internal and external of organization. However, excellent talent maybe will be missed at the pre-screening process under lack of complete information for managers to judge. In this paper, a personnel selection tool based on fuzzy data mining method is proposed to assist...

background : breast cancer is one of the most prevalent cancers among women today. the importance of breast cancer screening, its role in the timely identification of patients, and the reduction in treatment expenses are considered to be among the highest sanitary priorities of a modern country. thermal imaging clearly possesses a special role in this stage due to rapid diagnosis and use of har...