Solving interval-valued transportation problem using a new ranking function for octagonal fuzzy numbers

In this paper, we introduce a new method to solve Interval-Valued Transportation Problem (IVTP) to deal with those problems of transportation wherein the information available is imprecise. First, a newly proposed fuzzification method is used to convert the IVTP to octagonal fuzzy transportation problem and then with the help of ranking function proposed in this paper, the fuzzy transportation problem is converted into crisp transportation problem. Lastly, Initial Basic Feasible Solution (IBFS) of this problem is obtained using Vogel’s Approximation Method and the solution is improved using Modified Distribution (MODI) method. A numerical example with interval data is solved using the proposed algorithm to make comparison of the solution with some other methods. Also, a numerical example with parameters in the form of octagonal fuzzy numbers is illustrated to compare the effectiveness of the proposed ranking technique. The proposed fuzzification and ranking technique can be used in the other fields of decision making dealing with the data in the same form as considered in this paper.

An Interpretation of Non-Preemptive Priority Fuzzy Queuing Model with Asymmetrical Service Rates

This paper presents Non-Preemptive priority fuzzy queuing model with asymmetrical service rates. Arrival rate and service rate are taken to be hexagonal, heptagonal, and octagonal fuzzy numbers. Here an interpretation is given to determine the performance measures by applying a new ranking technique through which the fuzzy values are reduced to the crisp values. This ranking technique has the benefit of being precise and relevant compared to other methods such as alpha-cut method and LR method. The main intention is to evaluate the fuzziness before the performance measures are processed by utilizing the regular queueing hypothesis. Three numerical examples are exhibited to show the validity implementation of the methodology.

CUSTOMERS’ ASSESSMENT ON E-BANKING SERVICE QUALITY IN BANGLADESH: CHALLENGES AND STRATEGIES

This paper attempts to investigate to understand customers’ evaluation regarding service quality of e-banking in Bangladesh. It also examines the major challenges and required strategies for promoting e-banking. To conduct the study, a total number of 205 respondents were taken as sample from Chittagong region by using simple judgmental sampling technique. A face-to-face interview method was followed by using a structured questionnaire to collect the data. Five points Likert scale was used to examine the customers’ evaluation on the service quality and through statistical measures it analyze the problem. Garret’s ranking technique was applied to rank the qualitative data for analyzing challenges and required strategies of e-banking. The study reveals that from the customers’ assessment, e-banking saves time and hazard, facilitates quick and easier access to information, speedy transaction, receiving service easily, ensures accuracy, effectiveness and security, provides versatile service, anytime, anywhere banking facility. The study also found that technological disturbance, insufficient infrastructure, unavailability of service in rural areas, high service charge are the major challenges of e-banking service in Bangladesh. The customers suggests to develop infrastructure, upgrade technology, increase security measure, enhance promotion for developing customers’ awareness, introduce innovative initiative of Bangladesh bank, extend service across the country etc.

Synergistic Effects of Different Levels of Genomic Data for the Staging of Lung Adenocarcinoma: An Illustrative Study

Lung adenocarcinoma (LUAD) is a common and very lethal cancer. Accurate staging is a prerequisite for its effective diagnosis and treatment. Therefore, improving the accuracy of the stage prediction of LUAD patients is of great clinical relevance. Previous works have mainly focused on single genomic data information or a small number of different omics data types concurrently for generating predictive models. A few of them have considered multi-omics data from genome to proteome. We used a publicly available dataset to illustrate the potential of multi-omics data for stage prediction in LUAD. In particular, we investigated the roles of the specific omics data types in the prediction process. We used a self-developed method, Omics-MKL, for stage prediction that combines an existing feature ranking technique Minimum Redundancy and Maximum Relevance (mRMR), which avoids redundancy among the selected features, and multiple kernel learning (MKL), applying different kernels for different omics data types. Each of the considered omics data types individually provided useful prediction results. Moreover, using multi-omics data delivered notably better results than using single-omics data. Gene expression and methylation information seem to play vital roles in the staging of LUAD. The Omics-MKL method retained 70 features after the selection process. Of these, 21 (30%) were methylation features and 34 (48.57%) were gene expression features. Moreover, 18 (25.71%) of the selected features are known to be related to LUAD, and 29 (41.43%) to lung cancer in general. Using multi-omics data from genome to proteome for predicting the stage of LUAD seems promising because each omics data type may improve the accuracy of the predictions. Here, methylation and gene expression data may play particularly important roles.

Implementation of Modified Best Candidate Method in Fuzzy Assignment Problem

To meet the demands of every customer by supplying the products at the limited time by maximizing the profit is a dream for many companies. By choosing the best candidate among the other candidates and effectively reaching the optimal solution with a new modified approach using Best Candidate Method in Fuzzy assignment problems. In this paper the author solve Fuzzy assignment problem in which Triangular and Trapezoidal fuzzy numbers are used. Robust Ranking Technique is used for the ranking of fuzzy numbers.

An Approach to solve Hexagonal Fuzzy Assignment Problem using Modified Best Candidate Method and Comparative Study with Existing Methods

The objective of fuzzy assignment problem is to find the least assignment fuzzy cost (maximum fuzzy profit) of workers with varying degree of skills to job. To attain the objective in this article, an approach involving modified best candidate method has been used to solve Hexagonal fuzzy assignment problem. To order the hexagonal fuzzy numbers Robust’s Ranking technique is applied. We examine a numerical example by using new method and compute by existing two methods. Also we compare the optimal solutions among this new method and two existing method .The proposed method is a systematic procedure, easy to apply for solving fuzzy assignment problem.

Determinants of Consumers’ Patronage of Commercial Banks in Southwest, Nigeria

This study identifies, categorizes and examines the factors influencing customers in their decision to engage in financial transaction with commercial banks. Primary data were elicited from bank customers across Six States in Southwest, Nigeria. The data collected from the randomly sampled respondents were analysed using descriptive statistics and Kruskal-Wallis H ranking test. The findings from non-parametric analysis of the factors using Kruskal-Wallis ranking technique show that, respectively, timeliness of operations, internet service and safety of transactions are of great values to bank customers. It is important for banks to internalize the identified factors in order to increase patronage and efficiency of fund mobilization.

CONSTRAINTS FACED DURING THE PRODUCTION AND MARKETING OF CABBAGE AND POTATO CROPS: A COMPARATIVE STUDY OF MANIPUR AND NAGALAND STATES OF INDIA

The present study was carried out by purposively simple stratified random sampling technique to select 300 respondents from both the states of Manipur and Nagaland, while to highlight the constraint faced by the growers during the production and marketing of cabbage and potato crops with Garrett Ranking Technique. For the production viz.; seed, labour, manures and fertilizers, irrigation, PPCs and other issues like animals, pests and diseases, have hampered of the potato and cabbage in the selected areas. While for marketing high price of the seed, not available in time, inferior quality of seed, low reliability of the seed, high wage rates of labour, skill & unskilled labour not available in time, irrigation facility not available, perennial sources are not available and irrigation facility not reliable etc; While for the market related issues, grading by hand & mechanical means, lack of knowledge regarding packaging, packing materials, high cost of transportation, lack of market infrastructures, unauthorized & illegal tax collections, use of improper scales in weighing, lack of support prices, lack of reliable & timely availability of market information and distant market along with the lack of cooperation among the producers and frequent ban & social boycott are some of the problems and constraints encountered by the entire producers and market intermediaries in the region.

An Economic Analysis on Production of Grapes in Theni District of Tamilnadu

This study was mainly concentrated on grape production. The results of analysis would throw light on the extent of cost and returns of grape cultivation, constraints faced by farmers ranked using Garett’s ranking technique. The cost and return of the grape farm per acre were analyzed and the average total cost was worked out to Rs.73,815.45 per acre and the average gross return was Rs 1,20,290 per acre.The result of the study indicates that grape cultivation is highly profitable and the benefit cost ratio was more than one (1.6). The major constraints faced by the sample farmers in the cultivation of grapes were pest attack followed by weeds, water shortage, credit availability and lack of input availability. The results would help the policy makers in formulating suitable programs and devising strategy for increasing production of grapes in Tamil Nadu.