introduction the morphologic features of human sperms are key indicators for monitoring fertility problems in men. therefore, automated analyzing methods via microscopic videos have become the most favorite policy in infertility treatment during the last decades. materials and methods in the proposed method, firstly a hypothesis testing framework was defined to distinguish sperms from backgroun...

Assignment Problem (AP) is a very well-known and also useful decision making problem in real life situations. It becomes more effective when different criteria are added. To solve Multi-Criteria Assignment Problem (MCAP), the different criteria have been considered as neutrosophic elements because Neutrosophic Set Theory (NST) is a generalization of the classical sets, conventional fuzzy sets, ...

Mathematical equations for the multi-criteria task of the optimisation of chemical engineering systems, for example for the optimisation of working regimes for industrial installations for benzene production, have been formulated and developed, and based on fuzzy mathematical methods, algorithms for their solution have been developed. Since the chemical engineering system, which is being resear...

in the process of investment decision making, next to financial indicators many other aspects of investment projects are increasingly often considered. this leads to the multi-criteria evaluation of a project. the advantage of multi-criteria methods is the ability to take into account all (not only financial) aspects of the attractiveness of an investment project. the selection of criteria of p...

Because the underlying physiology of pathological tremor in a Parkinson's patient is not well understood, the existing physical and drug therapies have not been successful in tremor treatment. Different mathematical modeling of such vibration has been introduced to investigate the problem and reduce the existing vibration. Most of the models have represented the induced vibration as a sinusoida...

introduction several methods have been developed to aid in selecting a network of biodiversity protected areas. one of these methods is artificial intelligence which includes a number of different computer algorithms that use an objective function to find the best solution. an algorithm is a mathematical process or a set of rules used for problem solving. recently, site selection algorithms hav...

wastewater planning management is a complex problem involving agricultural, rural and industrial interests. in countries facing rapid population growth, identifying methods that can allow them to take good decisions among several competitive alternatives is of utmost importance. the purpose of this paper is to present a methodology for a wastewater planning management system using a multi-c...

This paper analyses the combined use of scenario building and participatory multi-criteria analysis (PMCA) in the context of renewable energy from a methodological point of view. Scenarios have been applied increasingly in decision-making about long-term consequences by projecting different possible pathways into the future. Scenario analysis accounts for a higher degree of complexity inherent ...

Scheduling for job shop is very important in both fields of production management and combinatorial op-timization. However, it is quite difficult to achieve an optimal solution to this problem with traditional opti-mization approaches owing to the high computational complexity. The combination of several optimization criteria induces additional complexity and new problems. In this paper, we pro...

Supplier selection in food supply chains (FSCs) is not much explored due to the inherent difficulties, complexities and nature of industry. Food security quality are top row topics today’s world health scenario. During sudden crisis, it needs extra attention where producers, suppliers, stakeholders play most vital roles. This paper puts forward a two-phase sustainable multi-tier supplier model ...