Multi-mode fiber is used for transporting light signals to and from miniature fiber optic spectroscopy equipment (spectrometers, sources, and sampling accessories) and was instrumental in the development of the first portable spectrometer. Standards-compliant architectures such as Centralized Cabling and fiber to the telecom enclosure offer users the ability to leverage the distance capabilities of fiber by centralizing electronics in telecommunications rooms, rather than having active electronics on each floor. An increasing number of users are taking the benefits of fiber closer to the user by running fiber to the desktop or to the zone. īecause of its high capacity and reliability, multi-mode optical fiber generally is used for backbone applications in buildings. ![]() Typical transmission speed and distance limits are 100 Mbit/s for distances up to 2 km ( 100BASE-FX), 1 Gbit/s up to 1000 m, and 10 Gbit/s up to 550 m. This paper concludes that the subcriteria in all the items are in the same rank.The equipment used for communications over multi-mode optical fiber is less expensive than that for single-mode optical fiber. Finally, fuzzy TOPSIS (FTOPSIS) is employed to compare the results with classic TOPSIS. Using a fuzzy analytic hierarchy process (FAHP), the weights of criteria and subcriteria are determined and then the final ranking is determined by technique for order preference by similarity to ideal solution (TOPSIS). As the human decision-making process usually contains fuzziness and vagueness, a hierarchy of MADM model based on fuzzy-sets theory is used in this research. Many quantitative and qualitative factors must be considered to determine the suitable criteria. However, the nature of these kinds of decisions is usually complex and unstructured. Over the past few years, the determination of suitable cost-effectiveness criteria in the supply chain has become a key strategic issue. The aim of this paper is to evaluate and prioritize the proposed cost-effectiveness criteria in supply chain management using fuzzy multiple attribute decision-making (MADM) approach. The results obtained point out possible increasing/decreasing demands among separate user groups, therefore giving a factual basis for logistics changes. ![]() This software offers graphical representation of statistical data for selected brands based on the social network statuses, its implications, as well as target group demographic and territorial structure. Filtering is being done by already developed software for neurolinguistics social network analysis – “Symbols”. ![]() In this paper we present a procedure for finding and analyzing valuable information related to the specific products, and its effect on logistics system decision-making. Having the possibility to extract the information of interest from a huge amount of hand created data about the users’ personal affinities and their usage within logistics system, it is facilitated to meet the customers’ needs. According to the statistical data, the users share their impressions daily in the form of statuses about upcoming events and present state of affairs, their problems, plans, novel experiences about the products, political stances, and alike. Facebook is currently the world’s most populous “country” with more than 1. Social networks, such as Facebook, Twitter and LinkedIn have been becoming very popular during the last few years.
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