scholarly journals Evaluating the Multifunctional Resilience of River Health to Human Service Demand: A Comparison among Fuzzy Logic, Entropy and AHP Based MCDM Models

Author(s):  
RAJ BHATTACHARYA ◽  
Nilanjana Das Chatterjee ◽  
Kousik Das

Abstract Ecosystem services of river for human beings are guided by harmonious relationship; however over growing human service demands (HSDs) are leading to deteriorate the river health connotation. In this study, an assessment index system of monsoonal quarried river health including twenty indicators consisting of riparian, morphological, hydroecological and social structure were established to detect the multifunctional threshold of river system integrity in respect to HSDs at upper (US), middle (MS), lower segments (LS) of Kangsabati River using fuzzy logic, AHP and entropy based multi-criteria decision matrix (MCDM) methods i.e. vlseKriterijumska optimizacija I Kompromisno Resenje (VIKOR), simple additive weighing (SAW), complex proportion assessment of alternatives (COPRAS), weighted aggregated sum product assessment (WASPAS), technique for order preference by similarity to ideal solution (TOPSIS). The results revealed that overall indicators performance is generally healthy in MS, medium health level in US but mostly unhealthy in LS; and AHP and fuzzy MCDM methods assigned as high priority rank to MS, medium rank to US and least rank to LS, while entropy MCDM methods gives highest rank to US, medium rank to MS and least rank to LS, respectively. According to model validation performances, fuzzy and AHP MCDM methods are signified to HSDs, and results are closer to real problems, whereas entropy MCDM methods are rationalized to harmonic relationship of riverine system. With the acceptability of AHP SAW and WASPASS, it can be concluded that over HSDs is main culprit for river health degradation, and research results are identified the sick sites for ecological restoration.

2019 ◽  
Vol 9 (19) ◽  
pp. 4163
Author(s):  
Yongming Chen ◽  
Jihong Xia ◽  
Wangwei Cai ◽  
Zhilin Sun ◽  
Chuanbing Dou

To effectively manage a river system, systematic tracking and diagnosing the change and risks of a river system are essentially required to efficiently conserve or restore its conditions. Hence, this study focuses on how to integrate current status assessment, trend prediction, and cause diagnosis in river health to guide early warning decision-making in river protection and management. This study has presented a three-phase approach by coupling spatial with nonspatial information in a highly systematic and reliable way, and an early warning system has been designed. In phase I, the current health status is assessed and nowcasted by using the order degree of each indicator. In phase II, health predictors, including the single perspective-based health index (HI) (e.g., water quality index (WQI) and index of biotic integrity (IBI)) and multi-perspective-based health index, have been forecasted under normal conditions or emerging conditions using predictive models. In phase III, key causal factors threatening the river health have been identified to enable early notification and to address unexpected events before occurrence. Although different modeling methods can be used in each phase to demonstrate this concept, we tested the model of partial least square regression (PLSR) associated with time series. Additionally, the three-phase approach has been integrated with geographic information system (GIS) and a decision support system (DSS) to develop a river health prediction and early warning system (RHP-EWS), an automatic prediction and decision-making tool. This tool was implemented to deal with the landing of typhoon “Maria” in 2018 into the Shanxi River watershed in China. Because of the timely responses and decisions, the drinking water supply was not influenced. However, the models should be extended to other river systems for testing and improvement at different temporal or spatial scales.


Author(s):  
Radim Bělohlávek ◽  
Joseph W. Dauben ◽  
George J. Klir

The chapter begins by introducing the important and useful distinction between the research agendas of fuzzy logic in the narrow and the broad senses. The chapter deals with the latter agenda, whose ultimate goal is to employ intuitive fuzzy set theory for emulating commonsense human reasoning in natural language and other unique capabilities of human beings. Restricting to standard fuzzy sets, whose membership degrees are real numbers in the unit interval [0,1], the chapter describes how this broad agenda has become increasingly specific via the gradual development of standard fuzzy set theory and the associated fuzzy logic. An overview of currently recognized nonstandard fuzzy sets, which open various new directions in fuzzy logic, is presented in the last section of this chapter.


Author(s):  
Radim Belohlavek ◽  
Joseph W. Dauben ◽  
George J. Klir

The term “fuzzy logic” (FL) is a generic one, which stands for a broad variety of logical systems. Their common ground is the rejection of the most fundamental principle of classical logic—the principle of bivalence—according to which each declarative sentence has exactly two possible truth values—true and false. Each logical system subsumed under FL allows for additional, intermediary truth values, which are interpreted as degrees of truth. These systems are distinguished from one another by the set of truth degrees employed, its algebraic structure, truth functions chosen for logical connectives, and other properties. The book examines from the historical perspective two areas of research on fuzzy logic known as fuzzy logic in the narrow sense (FLN) and fuzzy logic in the broad sense (FLB), which have distinct research agendas. The agenda of FLN is the development of propositional, predicate, and other fuzzy logic calculi. The agenda of FLB is to emulate commonsense human reasoning in natural language and other unique capabilities of human beings. In addition to FL, the book also examines mathematics based on FL. One chapter in the book is devoted to overviewing successful applications of FL and the associated mathematics in various areas of human affairs. The principal aim of the book is to assess the significance of FL and especially its significance for mathematics. For this purpose, the notions of paradigms and paradigm shifts in science, mathematics, and other areas are introduced and employed as useful metaphors.


2020 ◽  
Vol 32 (4) ◽  
pp. 1503-1522 ◽  
Author(s):  
Murat Alper Basaran ◽  
Seden Dogan ◽  
Kemal Kantarci

Purpose Web 2.0 applications enable travelers to evaluate several services and assessment attributes. Constructed websites in several languages trigger a new way of data collections resulting in data streams leading to the accumulation of vast amounts of data, called big data. The need for analysis is in high demand. This study aims to construct a model to investigate which single attribute or interrelated ones having an impact on the performances of hotels. Design/methodology/approach The total number of 1,137 observations collected from the website HolidayCheck.de are used from the hotels in the Bavaria region in 2016. Bavaria is a region where both domestic and foreign travelers mostly prefer to visit. Fuzzy rule-based systems, which is a combination of fuzzy set theory (FST) and fuzzy logic, are used. Although the FST is used to convert linguistically expressed perceptions by travelers into mathematically usable data, fuzzy logic is used to construct a model between service attributes and price-performance (PP) to attain the set of single and interrelated attributes on the assessment of PP. Findings No single attribute plays a key role in PP assessment. However, two or more interrelated combinations have different impacts on PP. For example, when “Food—Drink” and “Room” moves together from average to good level, PP reaches the highest level of assessment. Research limitations/implications Accessibility to too much data is difficult. Practical implications A model can be continuously run so that any changes can be observed during the incoming of data. Social implications As the consumer reviews and ratings are the crucial source of information for other travelers, hoteliers must monitor and respond them on time in order to deal with the complaints. Originality/value Travelers’ perceptions or evaluations are treated with a FST that measures the impression of human beings. New modeling enables researchers to observe not only any single attribute but also interrelated ones on the PP.


2016 ◽  
Vol 839 ◽  
pp. 49-53 ◽  
Author(s):  
K. Shafeeque Ahmed ◽  
Shanmugam Prabhakar Karthikeyan ◽  
Sarat Kumar Sahoo

Any power system network is subjected to disturbances at any time and place. It is considered as one of the most stochastic system ever seen by the human beings. To enhance the power system reliability, System Protection Scheme (SPS) is an effective tool for utilizing the power grid during rare contingencies. This method is often employed as secondary protection schemes. SPS is also termed as Special Protection Scheme. SPS is referred with different names by different users such as IEEE as System Integrity Protection Scheme (SIPS), Bonneville Power Administration (BPA) as Remedial Action Scheme (RAS) and WECC and others as SPS. In India, only in late 90s, the concept of SPS was introduced to solve the above problem. In Indian power grid different SPS has been designed and implemented successfully. This paper presents a complete knowledge, need , general structure, characteristics and a brief description of the major SPS employed in various Indian Power grids. Post - commissioning performance of these SPS has also been analyzed briefly. Finally, highlights of major issues involved with the employment of SPS in the Indian scenario.


Author(s):  
Courtney Catherine Barajas

The Exeter riddle collection imagines voices for the Earth community. The bird riddles (6 and 7) exploit similarities between human and avian behaviors to affirm the intrinsic worth of the Earth community even when it makes humans uncomfortable. The horn riddles (12 and 76) give voice to other-than-human beings celebrating their participation in heroic culture: these riddles imagine that animal-objects find pleasure and purpose in their “work”, despite removal from their natural state. However, the wood-weapon riddles (3, 51, and 71) reveal an awareness that conscription into human service is not always in the best interest of the other-than-human. These thematic clusters suggest an interest in the inherent worth, active voice, and purpose of the non-human natural world.


Author(s):  
Kevin G. Barnhurst

A spidery network of mobile online media has supposedly changed people, places, time, and their meanings. A prime case is the news. Digital webs seem to have trapped “legacy media,” killing off newspapers and journalists' jobs. Did news businesses and careers fall prey to the digital “Spider”? To solve the mystery, the author spent thirty years studying news going back to the realism of the 1800s. The usual suspects—technology, business competition, and the pursuit of scoops—are only partly to blame for the fate of news. The main culprit is modernism from the “Mister Pulitzer” era, which transformed news into an ideology called “journalism.” News is no longer what audiences or experts imagine. Stories have grown much longer over the past century and now include fewer events, locations, and human beings. Background and context rule instead. News producers adopted modernism to explain the world without recognizing how modernist ideas influence the knowledge they produce. When webs of networked connectivity sparked a resurgence in realist stories, legacy news stuck to big-picture analysis that can alienate audience members accustomed to digital briefs. This book tells the history of an American idea: that modern knowledge can be commanding and democratic at the same time.


2020 ◽  
Vol 2 ◽  
Author(s):  
Nyein Thandar Ko ◽  
Phil Suter ◽  
John Conallin ◽  
Martine Rutten ◽  
Thom Bogaard

Intensive and incessant disruptions in watercourses such as dams are taking place due to the growing demand for hydroelectric generation, and can result in severe deterioration of ecosystem integrity. This research concentrates on the impact of dams on macroinvertebrate communities downstream of two hydropower dams on tributaries of the upper Ayeyarwady River basin (Myitnge and Chaungmagyi Rivers) in Myanmar. A total of 52 and 49 aquatic invertebrate taxa with a total abundance of 2,743 and 1,356 were collected from the Myitnge and Chuangamgyi Rivers, respectively. We found the natural flow regime had changed in both study rivers after the construction of the dams. Analysis of similarity (ANOSIM) indicated the communities of morphospecies of taxa and the very sensitive insects (Ephemeroptera, Plecoptera, Trichoptera, and Odonata, EPTO) were significantly different between upstream and downstream of both dams. We used the preliminary Myanmar Aquatic Biomonitoring Assessment Index (MABA) detect ecological water quality. The MABA analysis using all taxa at family-level showed that upstream of the dams was rated as good quality whereas downstream of the dams was rated as fair quality. Our research showed that macroinvertebrates communities can be used as a bioindicator to detect the impact of human influences on river health such as dams. We concluded that the novel biomonitoring assessment tool recently developed for Myanmar is a promising monitoring tool as further river development occurs in Myanmar, which could also be linked to citizen science projects.


2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Liguo Fei ◽  
Yong Hu ◽  
Fuyuan Xiao ◽  
Luyuan Chen ◽  
Yong Deng

Multicriteria decision-making (MCDM) is an important branch of operations research which composes multiple-criteria to make decision. TOPSIS is an effective method in handling MCDM problem, while there still exist some shortcomings about it. Upon facing the MCDM problem, various types of uncertainty are inevitable such as incompleteness, fuzziness, and imprecision result from the powerlessness of human beings subjective judgment. However, the TOPSIS method cannot adequately deal with these types of uncertainties. In this paper, aD-TOPSIS method is proposed for MCDM problem based on a new effective and feasible representation of uncertain information, calledDnumbers. TheD-TOPSIS method is an extension of the classical TOPSIS method. Within the proposed method,Dnumbers theory denotes the decision matrix given by experts considering the interrelation of multicriteria. An application about human resources selection, which essentially is a multicriteria decision-making problem, is conducted to demonstrate the effectiveness of the proposedD-TOPSIS method.


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