A fuzzy expert system for diagnosis and treatment of musculoskeletal disorders in wrist

Medicinski ekspertni sustav je aplikacija koja može značajno pomoći pri odlučivanju o dijagnozi i liječenju bolesti. Veći dio znanja koje se odnosi na dijagnozu simptoma i liječenje bolesti je eksperimentalan. Problem je kako to znanje ekstrahirati i učiniti dostupnim drugima. Svrha ovoga rada je napraviti ekspertni sustav za dijagnozu i liječenje mišićno skeletnih poremećaja u ručnom zglobu u fuzzy okruženju. Iskustvo se steklo od 15 elitnih stručnjaka iz područja mišićnoskeletnih poremećaja. Za prikupljanje podataka o simptomima poremećaja primijenjena je fuzzy Delphi metoda. Ta se metoda primijenila i za dobivanje podataka o liječenju. Konačno, razvijen je fuzzy ekspertni sustav za dijagnosticiranje i liječenje mišićno skeletnih poremećaja u ručnom zglobu primjenom softvera MATLAB. Moguće je dijagnosticirati sedam poremećaja zgloba primjenom toga sustava. Ulaz u sustav je magnituda simptoma, a izlaz su rezultati koje je sustav pronašao za te poremećaje; konačno se prikazuje poremećaj s najviše prikupljenih bodova kao sustavna dijagnoza za koju se predlaže liječenje. Ta se dijagnoza uspoređuje s elitnom dijagnozom uz primjenu statističke analize dobivene SPSS softverom. Rezultati pokazuju značajnu korelaciju između dviju varijabli. Usporedbom varijabli ustanovilo se da je 86,7 % sustavnih dijagnoza slično elitnim dijagnozama. U nedostatku elita, dijagnoza i liječenje se mogu postaviti relativno pouzdano. Rezultati ovog istraživanja su pokazali da se studenti medicine mogu koristiti medicinskim ekspertnim sustavima u znanstvene svrhe. Oni mogu također pomoći korisnicima kao pomoćni dijagnostički sustav u dijagnozi i liječenju bolesti.Medical expert system is an application which can effectively contribute to decisions on diagnosis and treatment of diseases. A major part of the knowledge related to diagnosis of symptoms and treatment of illnesses is experimental. The problem is that how this knowledge can be extracted and made available to others.The purpose of this study is to design an expert system for diagnosis and treatment of musculoskeletal disorders in wrist in fuzzy environment.The knowledge is achieved from 15 elites in the field of musculoskeletal disorders. For data gathering related to symptoms of the disorders, a fuzzy Delphi method is used. A Delphi method is also used for gathering data related to treatments. Finally, a fuzzy expert system is developed for diagnosis and treatment of musculoskeletal disorders in wrist using MATLAB software. The designed system is able to diagnose seven disorders of the wrist. The input to the system is the magnitude of symptoms and the output is the scores given by the system to disorders; finally, the disorder with the highest score is displayed as the systemic diagnosis for which treatments are suggested.The systemic diagnosis is compared to elite diagnosis using statistical analysis conducted by SPSS software. Results show a significant correlation between two variables. By comparing the variables, it is found that 86,7 % of the systemic diagnoses were similar to elite diagnoses. In the absence of elites, diagnosis and treatment can be performed to a relatively reliable level. As results of current research, medical expert systems can be used as a scientific source by medical students. It can also help users as an auxiliary diagnostic system to diagnose and treat diseases

Designing a Responsive Internet Banking by Design Science

Technology progress, during the recent decades, has influenced the banking industry. Banks have moved from traditional banking to online banking. Users expect to view systems on different browsers or different devices without disrupting the overall/page due to the small size of the display on some devices such. This expectation is responsiveness which is one of the factors influencing the user experience. Responsiveness means that the contents of a web-based system are displayed correctly and clearly on all devices and browsers, regardless of screen size. The purpose of this article is also to design a responsive Internet Banking system based on design science. It has been designed, based on the study of the scientific background and considering the concepts of Internet Banking, its adoption factors, responsiveness and user experience and the system requirements, from a business and technical point of view.The present study provides a system design that can be used by all financial institutions. It can also be applicable for universities and higher education institutions, as it describes, step by step, how to practically use the research method in a real system.Considering the results of this study, user experience, including issues such as responsiveness, ease of use and learnability, is much interesting for users, and the Internet banks that provide these factors along with security and performance are very attractive and are highly appreciated

Sentiment analysis of TripAdvisor comments for Iranian restaurants with a deep learning approach

The growth of the Internet, social networks and e-commerce websites provide a platform for users to express their opinions. In recent years, many users have expressed their positive or negative opinions about food, service, and quality and restaurant atmosphere online. These comments are very important for the decision of other users as well as restaurants to maintain quality, product development and their brand. Sentiment analysis is a natural language processing approach and allows systematic analysis of users' opinions. Due to the importance of this issue, the purpose of this study is to present a model for analyzing the sentiment of TripAdvisor's comments about Iranian restaurants. In this research, we propose an aspect-based sentiment analysis based on a deep learning algorithm which is the standard long short-term memory neural network to extract users' sentiments about restaurants. To teach the model, 4000 comments were labeled according to four aspects in three classes of not related, positive and negative, and the study steps were done based on Crisp methodology. Accuracy for food, service, value and atmosphere were 82%, 86%, 87% and 81%, respectively. These results indicate the efficiency and acceptable performance of the model for aspect-based sentiment analysis of restaurants. Furthermore, food and atmosphere are the most important aspects for the customers of Iranian restaurants, respectively. Restaurant owners can use the developed model to gain a competitive advantage and find their strengths and weaknesses

A Combined Multi-Criteria Decision Model to Select a Knowledge Management Outsourcing Provider

A Combined Multi-Criteria Decision Model to Select a Knowledge Management Outsourcing Provide

Designing a Decision Support System for Prioritizing of Banks’ Branches

The banks are the most important symbol of monetary market in any country without exception. As the optimum function of the banks have important role in economic development of the country, creating the ground for qualitative and quantitative promotion of the banks performance in healthy competition can play important role in achieving the goals. One of the methods helping the bank’s branches to identify the competitive position and performance quality is evaluation of their performance from various aspects and their ranking. The aim of present study is to design a decision support system based on Promethee II method as a complete and comprehensive method and by automatic ranking, despite considering the qualitative and quantitative indices, it is done in by low time and costs with high precision. Thus, it is possible to analyze the sensitivities to be sure of the initial selections and changing the indices and values dependent upon the environmental changes are provided for branches evaluators. The system output is the rank associated to each branch based on Promethee II method

Designing a Decision Support Expert System for Supporting the Process of Knowledge Management Strategy Development

Chooshing the Knowledge management strategy is affected by different organizational factors like business strategy, organizational structure, organizational culture, Information Technology strategy, human resource management, and dynamics of knowledge. It is difficult for strategists to consider all these factors in choosing appropriate KM strategy. In this research after presenting a six step methodology for KM strategy development, we designed a decision support expert system for supporting the process of knowledge management strategy development. This system has been implemented in three Iranian companies as a multi-case study. We used a questionnaire for validating the knowledge base and model base of the system. Furthermore, we compared the expert system results with the result of developing KM strategy without using expert system by analytical statistics techniques

Designing Decision Support System to Select IT Projects and Services (Case Study: Tosan Company)

Nowadays, considering the focus of international community on the field of IT services as well as the move of large organizations toward profitability by providing appropriate services to the needs of organization and business markets, it is necessary to draw more consideration to the related projects than ever. In this regard, identification and selection of IT services' indicators and evaluation of these services, and projects, are effective methods to increase profitability and effectiveness of IT in organizations. Therefore, in this study, first the effective criteria in selecting IT projects and services identified, and then a decision support system designed based on fuzzy analytical hierarchy process. And also, by applying the proposed system, the analysis was conducted to determine the sensitivity of various criteria against changes and the effects of each on the final ranking results. Finally, comparing the results of the study with others, the advantages of proposed decision support system have been described

Modeling and knowledge acquisition processes using case-based inference

The method of acquisition and presentation of the organizational Process Knowledge has considered by many KM researches. In this research a model for process knowledge acquisition and presentation has been presented by using the approach of Case Base Reasoning. The validation of the presented model was evaluated by conducting an expert panel. Then a software has been developed based on the presented model and implemented in Eghtesad Novin Bank of Iran. In this company, based on the stages of the presented model, first the knowledge intensive processes has been identified, then the Process Knowledge was stored in a knowledge base in the format of problem/solution/consequent .The retrieval of the knowledge was done based on the similarity of the nearest neighbor algorithm. For validating of the implemented system, results of the system has compared by the results of the decision making of the expert of the process

Product pricing in two-echelon supply chain using game theory in intuitionistic fuzzy environment

By applying fuzzy set theory in game theory, player’s strategies are determined by fuzzy variable with a definite membership function, where the degree of non-membership is stated by supplement of degree of membership, while determining the value of uncertain parameters of decisions may be associated with a hesitation degree. Therefore, in this paper, intuitionistic fuzzy variables are used to better describe vague and imprecise information, and also deals with uncertainty and ambiguity in product pricing process. To provide the proposed model, a two-echelon supply chain with one manufacturer and one retailer is considered. For Designing the proposed pricing game, we have considered structure of two-level programming in a Stackelberg game form. Finally, using a numerical example, structural validation and the effectiveness of proposed model is shown in product pricing proces

Sentiment Analysis of Users for Buying on Cell Phone in Digikala

Nowadays, people use others' opinions on social networks for decision-making to purchase online products and services. Likewise, the companies which offer the products employ sentiment analysis of opinions of users and customers to adopt informed decisions and offer new products. Considering the high volume of the contextual data, conversion, and analysis of such data is a major challenge in e-commerce. Sentiment analysis is a modern approach in the extraction of opinions. The obtained information from sentiment analysis can have a considerable impact on the efficient selection of customers. In the present study, a model has been proposed for sentiment analysis of users' opinions for buying a cell phone in Digikala. This study is applicable to the objective aspect. The data includes users' opinions in Digikala. The statistical sample consists of opinions of cell phone users in Digikala. Supervised learning, as well as Python package, were utilized for analysis and implementation.  A model has been proposed for sentiment analysis of users' opinions. The results demonstrate that this model can classify users' opinions with an accuracy equal to 0.892. Similarly, the results reveal that users' opinions about ease of use, possibilities, and capabilities of the cell phone are positive and about purchase value to price, innovation, design and appearance, and quality of cell phones are negative. The proposed model can be implemented in e-commerce websites like Digikala and its output can be observed by users systematically. Finally, it can be led to inform decision-making for buyers and companies which offer products