fuzzy cognitive map

Coopetition strategy(cooperation-competition)is a popular strategic approach in the healthcare.Despite the acceptance of this approach,organizations have faced difficulties in implementing it to benefit from all its advantages.Therefore,the current research was conducted with the aim of identifying the key success factors of the cooperation-competition strategy in the healthcare and analyzing the scenario of these factors.This research is a mixed (qualitative-quantitative)research.In the first stage(qualitative)based on semi-structured interviews and thematic analysis,the key success factors were identified and in the second stage(quantitative),fuzzy cognitive map and scenario analysis was used to rank these factors.As a result of the first stage,74key factors of success were identified and categorized to15categories:"human resource management","skills to detect and resolve inconsistencies","training of managers","management of relations between organizations","degree of dependence and similarity".,"Information management","Smart monitoring and evaluation","Smart service","Appropriate culture creation","Positive manager","Multiple sources","Work environment design","Team work","contracts Management"and,"benchmarking".Based on the output of the fuzzy-cognitive-map,"Training of managers"and"contracts Management "are the driver and"Smart service"is the receiver.Other key success factors are typical.The highest degrees of dependence are "inter-organizational relationship management"and"intelligent monitoring and evaluation"."benchmarking"and"skill to detect and resolve inconsistencies"have the highest degree of effectiveness,and"management of relations between organizations"and"skill to detect and resolve inconsistencies"have the highest degree of centrality.The overlap of the backward scenarios indicates the special position of"smart monitoring and evaluation","contract management"and"proper culture building".Also,the overlap of future scenarios shows the importance of"benchmarking"and"training managers". Based on the findings,the development of information infrastructure,benchmarking,regulation of contracts based on the coverage of challenges and management training are recommended for the development of cooperation-competition strategy in health care sector.

Biven the ambiguity of the many variables influencing the decision making fields, based on mathematical methods and expert systems such as fuzzy cognitive maps a new strategy for more transparent procedures governing the dusty environment is intelligence strategic decision. The aim of this study was to analyze and simulate effective action on the crisis in Yemen actors using the new tools of analysis fuzzy cognitive map. Expertise Panels and Semi-open questionnaire, attempting to identify, Elemnets and their prioritize the variables affecting the Yemeni crisis and with the help of analysis tools of statixtical correlation, Friedman ANOVA, Cronbach's alpha coefficient and fuzzy cognitive map, relationships and interaction factors identified and shown.
Contributing forces in Yemen crisis including twenty in the form of a conceptual model of the interction of these factors was found. None of the factors affecting the strategic environment of the crisis in Yemen has not totality role. Several scenarios can be replicated in the future is the crisis in Yemen But the most important factor affecting the crisis in Yemen is the Yemeni Popular Forces. Analysis shown that there is no no sustainable end to the crisis is not identifiable with out considering all factors specially the whole yemenis will.

Increasing demand for renewable energy has made the biomass a key source of renewable energy. The waste biomass has been given greater consideration at the global level, because of waste management and environmental protection policies. These resources have a large potential for electricity generation. The goal of converting them into electricity is waste management and environmental protection. Therefore, supply chain plays an important role in providing effective and efficient sources of waste biomass for energy production. In this article, first, through holding interviews with experts, waste biomass supply chain components were identified. Then, using the fuzzy cognitive mapping method, the causal relationships between components were investigated. The results showed that the out-degree of waste biomass production, pre-processing (separation), transportation, and storage in landfill place respectively is 5.5, 3.08, 2.97 and 2.86. Studying various scenarios showed that with increase in the impact of waste biomass production, the impact of other components of the chain would also increase. But with the increase in the impact of primary transportation, storage at the landfill, the effect of other components decreases respectively, to the extent that their effect is negatively affected. It can be concluded that the production of waste biomass is more influential and more important in comparison with other components of the supply chain in energy production

Due to the contemporary interactions in the world shaping the global village،any nation that does not provide a definition of itself by means of its native language and culture would probably lose its identityand fade under the most dominating alien and unfamiliar cultures and civilizations. In this regard، the Supreme Leader of Iran outlined a perspective of Persian language turning it into a global scientific language. The issue has also entered in the upstream documents of the national planning. Considering language a soft technology، this article seeks to investigate the requirements of the realization of this perspective. The study is mostly intended to realistically reorganize the findings of the previous studies. The main finding of the present study is that the preservation of the Persian language thesaurus and its development without considering the digital requirements (including adapting Persian to the computer environments and emphasizing the production of capable computer machine translators) is impossible. Due to the development of the artificial intelligence، cognitive technologies and digital translators، in the future، the access to the scientific contents may not necessarily depend on knowing a dominant foreign language. Although we cannot expect Persian (or any other language) to attain the current position of English in the near future، this does not mean that Persian cannot be considered as a scientific language after about five decades. In other words، our country، due to the science production incentive policies، may reach a position for Iranians to generate a considerable portion of science productions، and consequently، the scientific contents in Persian become considerably sizeable. Thus، the present study aims to provide evidence that prove the mentioned ideal to be attainable. However، the world scientists may not have to acquire Persian to gain access to the science developed by Iranians. At the end of the article، there is an attempt to reflect and summarize the result of the research achievements in a fuzzy cognitive map.